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https://github.com/A-Minos/nonebot-plugin-tetris-stats.git
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ba0d1677cf
* ✨ 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
81 lines
3.4 KiB
Python
81 lines
3.4 KiB
Python
from datetime import datetime, timedelta
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from uuid import UUID
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from nonebot_plugin_orm import Model
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from sqlalchemy import DateTime, ForeignKey, Integer, Interval, String, UniqueConstraint
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from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column, relationship
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from ...db.models import PydanticType
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from .api.schemas.leaderboards.by import BySuccessModel, Entry
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from .api.typedefs import ValidRank
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from .typedefs import Template
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class TETRIOUserConfig(MappedAsDataclass, Model):
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__tablename__ = 'nb_t_io_u_cfg'
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id: Mapped[int] = mapped_column(primary_key=True)
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query_template: Mapped[Template] = mapped_column(String(2))
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compare_delta: Mapped[timedelta | None] = mapped_column(Interval(native=True), nullable=True)
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class TETRIOLeagueStats(MappedAsDataclass, Model):
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__tablename__ = 'nb_t_io_tl_stats'
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id: Mapped[int] = mapped_column(init=False, primary_key=True)
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raw: Mapped[list['TETRIOLeagueHistorical']] = relationship(back_populates='stats', lazy='noload')
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fields: Mapped[list['TETRIOLeagueStatsField']] = relationship(back_populates='stats')
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update_time: Mapped[datetime] = mapped_column(DateTime, index=True)
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class TETRIOLeagueHistorical(MappedAsDataclass, Model):
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__tablename__ = 'nb_t_io_tl_hist'
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id: Mapped[int] = mapped_column(init=False, primary_key=True)
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request_id: Mapped[UUID] = mapped_column(index=True)
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data: Mapped[BySuccessModel] = mapped_column(PydanticType([], {BySuccessModel}))
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update_time: Mapped[datetime] = mapped_column(DateTime, index=True)
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stats_id: Mapped[int] = mapped_column(ForeignKey('nb_t_io_tl_stats.id'), init=False)
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stats: Mapped['TETRIOLeagueStats'] = relationship(back_populates='raw')
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entry_type = PydanticType([], {Entry})
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class TETRIOLeagueStatsField(MappedAsDataclass, Model):
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__tablename__ = 'nb_t_io_tl_stats_field'
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id: Mapped[int] = mapped_column(init=False, primary_key=True)
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rank: Mapped[ValidRank] = mapped_column(String(2), index=True)
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tr_line: Mapped[float]
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player_count: Mapped[int]
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low_pps: Mapped[Entry] = mapped_column(entry_type)
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low_apm: Mapped[Entry] = mapped_column(entry_type)
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low_vs: Mapped[Entry] = mapped_column(entry_type)
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avg_pps: Mapped[float]
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avg_apm: Mapped[float]
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avg_vs: Mapped[float]
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high_pps: Mapped[Entry] = mapped_column(entry_type)
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high_apm: Mapped[Entry] = mapped_column(entry_type)
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high_vs: Mapped[Entry] = mapped_column(entry_type)
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stats_id: Mapped[int] = mapped_column(ForeignKey('nb_t_io_tl_stats.id'), init=False)
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stats: Mapped['TETRIOLeagueStats'] = relationship(back_populates='fields')
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class TETRIOUserUniqueIdentifier(MappedAsDataclass, Model):
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__tablename__ = 'nb_t_io_uid'
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id: Mapped[int] = mapped_column(init=False, primary_key=True)
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user_unique_identifier: Mapped[str] = mapped_column(String(24), unique=True, index=True)
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class TETRIOLeagueUserMap(MappedAsDataclass, Model):
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__tablename__ = 'nb_t_io_tl_map'
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__table_args__ = (UniqueConstraint('uid_id', 'hist_id', name='uq_nb_t_io_tl_map_uid_hist'),)
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id: Mapped[int] = mapped_column(init=False, primary_key=True)
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stats_id: Mapped[int] = mapped_column(ForeignKey('nb_t_io_tl_stats.id'), index=True)
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uid_id: Mapped[int] = mapped_column(ForeignKey('nb_t_io_uid.id'), index=True)
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hist_id: Mapped[int] = mapped_column(ForeignKey('nb_t_io_tl_hist.id'))
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entry_index: Mapped[int] = mapped_column(Integer)
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