105 lines
3.3 KiB
Python
105 lines
3.3 KiB
Python
# ruff: noqa: I002
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from datetime import datetime
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import math
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from typing import Literal
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from app.models.score import Rank
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from .beatmap import Beatmap
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from .beatmapset import Beatmapset
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from .user import User
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from pydantic import BaseModel
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from sqlalchemy import Column, DateTime
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from sqlmodel import BigInteger, Field, Relationship, SQLModel
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class ScoreBase(SQLModel):
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# 基本字段
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accuracy: float
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beatmap_id: int = Field(index=True, foreign_key="_beatmap.id")
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map_md5: str = Field(max_length=32, index=True)
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best_id: int | None = Field(default=None)
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build_id: int | None = Field(default=None)
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classic_total_score: int | None = Field(
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default=0, sa_column=Column(BigInteger)
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) # solo_score
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ended_at: datetime = Field(sa_column=Column(DateTime))
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has_replay: bool
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max_combo: int
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mods: int = Field(index=True)
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passed: bool
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playlist_item_id: int | None = Field(default=None) # multiplayer
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pp: float
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preserve: bool = Field(default=True)
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rank: Rank
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room_id: int | None = Field(default=None) # multiplayer
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ruleset_id: Literal[0, 1, 2, 3] = Field(index=True)
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started_at: datetime = Field(sa_column=Column(DateTime))
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total_score: int = Field(default=0, sa_column=Column(BigInteger))
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type: str
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user_id: int = Field(foreign_key="user.id", index=True)
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# ScoreStatistics
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n300: int = Field(default=0, exclude=True)
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n100: int
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n50: int
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nmiss: int
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ngeki: int
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nkatu: int
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nlarge_tick_miss: int | None = Field(default=None, exclude=True)
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nslider_tail_hit: int | None = Field(default=None, exclude=True)
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# optional
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beatmap: "Beatmap" = Relationship(back_populates="scores")
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beatmapset: "Beatmapset" = Relationship(back_populates="scores")
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# TODO: current_user_attributes
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position: int | None = Field(default=None) # multiplayer
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user: "User" = Relationship(back_populates="scores")
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class ScoreStatistics(BaseModel):
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count_miss: int
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count_50: int
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count_100: int
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count_300: int
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count_geki: int
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count_katu: int
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count_large_tick_miss: int | None = None
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count_slider_tail_hit: int | None = None
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class Score(ScoreBase, table=True):
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__tablename__ = "scores" # pyright: ignore[reportAssignmentType]
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id: int = Field(primary_key=True)
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class ScoreResp(ScoreBase):
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id: int
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is_perfect_combo: bool = False
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legacy_perfect: bool = False
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legacy_total_score: int = 0 # FIXME
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processed: bool = False # solo_score
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weight: float = 0.0
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statistics: ScoreStatistics | None = None
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@classmethod
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def from_db(cls, score: Score) -> "ScoreResp":
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s = cls.model_validate(score)
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s.is_perfect_combo = s.max_combo == s.beatmap.max_combo
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s.legacy_perfect = s.max_combo == s.beatmap.max_combo
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if score.best_id:
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# https://osu.ppy.sh/wiki/Performance_points/Weighting_system
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s.weight = math.pow(0.95, score.best_id)
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s.statistics = ScoreStatistics(
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count_miss=score.nmiss,
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count_50=score.n50,
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count_100=score.n100,
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count_300=score.n300,
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count_geki=score.ngeki,
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count_katu=score.nkatu,
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count_large_tick_miss=score.nlarge_tick_miss,
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count_slider_tail_hit=score.nslider_tail_hit,
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)
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return s
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