mirror of
https://github.com/283375/arcaea-offline.git
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189 lines
5.4 KiB
Python
189 lines
5.4 KiB
Python
# pylint: disable=too-few-public-methods, duplicate-code
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from typing import Optional
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from sqlalchemy import TEXT, case, func, inspect, select, text
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from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
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from sqlalchemy_utils import create_view
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from .common import ReprHelper
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from .songs import ChartInfo, Difficulty
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__all__ = [
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"ScoresBase",
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"Score",
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"ScoresViewBase",
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"ScoreCalculated",
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"ScoreBest",
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"CalculatedPotential",
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]
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class ScoresBase(DeclarativeBase, ReprHelper):
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pass
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class Score(ScoresBase):
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__tablename__ = "scores"
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id: Mapped[int] = mapped_column(autoincrement=True, primary_key=True)
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song_id: Mapped[str] = mapped_column(TEXT())
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rating_class: Mapped[int]
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score: Mapped[int]
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pure: Mapped[Optional[int]]
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far: Mapped[Optional[int]]
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lost: Mapped[Optional[int]]
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date: Mapped[Optional[int]]
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max_recall: Mapped[Optional[int]]
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modifier: Mapped[Optional[int]] = mapped_column(
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comment="0: NORMAL, 1: EASY, 2: HARD"
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)
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clear_type: Mapped[Optional[int]] = mapped_column(
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comment="0: TRACK LOST, 1: NORMAL CLEAR, 2: FULL RECALL, "
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"3: PURE MEMORY, 4: EASY CLEAR, 5: HARD CLEAR"
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)
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comment: Mapped[Optional[str]] = mapped_column(TEXT())
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# How to create an SQL View with SQLAlchemy?
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# https://stackoverflow.com/a/53253105/16484891
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# CC BY-SA 4.0
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class ScoresViewBase(DeclarativeBase, ReprHelper):
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pass
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class ScoreCalculated(ScoresViewBase):
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__tablename__ = "scores_calculated"
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id: Mapped[int]
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song_id: Mapped[str]
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rating_class: Mapped[int]
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score: Mapped[int]
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pure: Mapped[Optional[int]]
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shiny_pure: Mapped[Optional[int]]
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far: Mapped[Optional[int]]
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lost: Mapped[Optional[int]]
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date: Mapped[Optional[int]]
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max_recall: Mapped[Optional[int]]
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modifier: Mapped[Optional[int]]
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clear_type: Mapped[Optional[int]]
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potential: Mapped[float]
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comment: Mapped[Optional[str]]
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__table__ = create_view(
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name=__tablename__,
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selectable=select(
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Score.id,
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Difficulty.song_id,
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Difficulty.rating_class,
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Score.score,
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Score.pure,
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(
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case(
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(
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(
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ChartInfo.notes.is_not(None)
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& Score.pure.is_not(None)
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& Score.far.is_not(None)
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& (ChartInfo.notes != 0)
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),
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Score.score
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- func.floor(
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(Score.pure * 10000000.0 / ChartInfo.notes)
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+ (Score.far * 0.5 * 10000000.0 / ChartInfo.notes)
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),
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),
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else_=text("NULL"),
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)
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).label("shiny_pure"),
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Score.far,
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Score.lost,
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Score.date,
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Score.max_recall,
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Score.modifier,
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Score.clear_type,
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case(
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(Score.score >= 10000000, ChartInfo.constant / 10.0 + 2),
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(
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Score.score >= 9800000,
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ChartInfo.constant / 10.0 + 1 + (Score.score - 9800000) / 200000.0,
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),
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else_=func.max(
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(ChartInfo.constant / 10.0) + (Score.score - 9500000) / 300000.0,
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0,
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),
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).label("potential"),
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Score.comment,
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)
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.select_from(Difficulty)
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.join(
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ChartInfo,
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(Difficulty.song_id == ChartInfo.song_id)
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& (Difficulty.rating_class == ChartInfo.rating_class),
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)
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.join(
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Score,
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(Difficulty.song_id == Score.song_id)
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& (Difficulty.rating_class == Score.rating_class),
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),
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metadata=ScoresViewBase.metadata,
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cascade_on_drop=False,
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)
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class ScoreBest(ScoresViewBase):
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__tablename__ = "scores_best"
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id: Mapped[int]
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song_id: Mapped[str]
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rating_class: Mapped[int]
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score: Mapped[int]
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pure: Mapped[Optional[int]]
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shiny_pure: Mapped[Optional[int]]
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far: Mapped[Optional[int]]
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lost: Mapped[Optional[int]]
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date: Mapped[Optional[int]]
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max_recall: Mapped[Optional[int]]
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modifier: Mapped[Optional[int]]
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clear_type: Mapped[Optional[int]]
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potential: Mapped[float]
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comment: Mapped[Optional[str]]
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__table__ = create_view(
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name=__tablename__,
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selectable=select(
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*[
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col
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for col in inspect(ScoreCalculated).columns
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if col.name != "potential"
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],
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func.max(ScoreCalculated.potential).label("potential"),
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)
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.select_from(ScoreCalculated)
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.group_by(ScoreCalculated.song_id, ScoreCalculated.rating_class)
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.order_by(ScoreCalculated.potential.desc()),
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metadata=ScoresViewBase.metadata,
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cascade_on_drop=False,
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)
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class CalculatedPotential(ScoresViewBase):
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__tablename__ = "calculated_potential"
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b30: Mapped[float]
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_select_bests_subquery = (
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select(ScoreBest.potential.label("b30_sum"))
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.order_by(ScoreBest.potential.desc())
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.limit(30)
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.subquery()
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)
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__table__ = create_view(
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name=__tablename__,
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selectable=select(func.avg(_select_bests_subquery.c.b30_sum).label("b30")),
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metadata=ScoresViewBase.metadata,
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cascade_on_drop=False,
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)
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