262 lines
7.5 KiB
Python
262 lines
7.5 KiB
Python
from sqlalchemy import Table, Column, UniqueConstraint, PrimaryKeyConstraint, and_
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from sqlalchemy.types import Integer, String, TIMESTAMP, JSON, Boolean
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from sqlalchemy.schema import ForeignKey
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from sqlalchemy.sql import func, select
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from sqlalchemy.dialects.mysql import insert
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from sqlalchemy.engine import Row
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from typing import Optional, List, Dict, Any
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from core.data.schema import BaseData, metadata
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from core.data import cached
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score = Table(
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"diva_score",
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metadata,
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Column("id", Integer, primary_key=True, nullable=False),
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Column("user", ForeignKey("aime_user.id", ondelete="cascade"), nullable=False),
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Column("version", Integer),
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Column("pv_id", Integer),
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Column("difficulty", Integer),
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Column("edition", Integer),
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Column("score", Integer),
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Column("atn_pnt", Integer),
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Column("clr_kind", Integer),
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Column("sort_kind", Integer),
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Column("cool", Integer),
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Column("fine", Integer),
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Column("safe", Integer),
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Column("sad", Integer),
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Column("worst", Integer),
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Column("max_combo", Integer),
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UniqueConstraint("user", "pv_id", "difficulty", "edition", name="diva_score_uk"),
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mysql_charset="utf8mb4",
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)
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playlog = Table(
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"diva_playlog",
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metadata,
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Column("id", Integer, primary_key=True, nullable=False),
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Column("user", ForeignKey("aime_user.id", ondelete="cascade"), nullable=False),
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Column("version", Integer),
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Column("pv_id", Integer),
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Column("difficulty", Integer),
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Column("edition", Integer),
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Column("score", Integer),
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Column("atn_pnt", Integer),
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Column("clr_kind", Integer),
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Column("sort_kind", Integer),
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Column("cool", Integer),
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Column("fine", Integer),
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Column("safe", Integer),
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Column("sad", Integer),
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Column("worst", Integer),
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Column("max_combo", Integer),
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Column("date_scored", TIMESTAMP, server_default=func.now()),
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mysql_charset="utf8mb4",
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)
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class DivaScoreData(BaseData):
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async def put_best_score(
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self,
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user_id: int,
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game_version: int,
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song_id: int,
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difficulty: int,
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edition: int,
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song_score: int,
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atn_pnt: int,
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clr_kind: int,
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sort_kind: int,
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cool: int,
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fine: int,
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safe: int,
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sad: int,
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worst: int,
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max_combo: int,
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) -> Optional[int]:
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"""
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Update the user's best score for a chart
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"""
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sql = insert(score).values(
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user=user_id,
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version=game_version,
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pv_id=song_id,
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difficulty=difficulty,
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edition=edition,
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score=song_score,
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atn_pnt=atn_pnt,
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clr_kind=clr_kind,
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sort_kind=sort_kind,
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cool=cool,
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fine=fine,
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safe=safe,
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sad=sad,
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worst=worst,
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max_combo=max_combo,
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)
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conflict = sql.on_duplicate_key_update(
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score=song_score,
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atn_pnt=atn_pnt,
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clr_kind=clr_kind,
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sort_kind=sort_kind,
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cool=cool,
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fine=fine,
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safe=safe,
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sad=sad,
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worst=worst,
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max_combo=max_combo,
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)
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result = await self.execute(conflict)
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if result is None:
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self.logger.error(
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f"{__name__} failed to insert best score! profile: {user_id}, song: {song_id}"
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)
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return None
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return result.lastrowid
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async def put_playlog(
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self,
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user_id: int,
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game_version: int,
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song_id: int,
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difficulty: int,
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edition: int,
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song_score: int,
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atn_pnt: int,
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clr_kind: int,
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sort_kind: int,
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cool: int,
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fine: int,
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safe: int,
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sad: int,
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worst: int,
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max_combo: int,
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) -> Optional[int]:
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"""
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Add an entry to the user's play log
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"""
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sql = playlog.insert().values(
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user=user_id,
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version=game_version,
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pv_id=song_id,
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difficulty=difficulty,
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edition=edition,
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score=song_score,
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atn_pnt=atn_pnt,
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clr_kind=clr_kind,
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sort_kind=sort_kind,
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cool=cool,
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fine=fine,
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safe=safe,
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sad=sad,
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worst=worst,
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max_combo=max_combo,
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)
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result = await self.execute(sql)
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if result is None:
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self.logger.error(
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f"{__name__} failed to insert playlog! profile: {user_id}, song: {song_id}, chart: {difficulty}"
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)
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return None
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return result.lastrowid
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async def get_best_user_score(
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self, user_id: int, pv_id: int, difficulty: int, edition: int
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) -> Optional[Row]:
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sql = score.select(
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and_(
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score.c.user == user_id,
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score.c.pv_id == pv_id,
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score.c.difficulty == difficulty,
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score.c.edition == edition,
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)
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)
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result = await self.execute(sql)
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if result is None:
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return None
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return result.fetchone()
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async def get_top3_scores(
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self, pv_id: int, difficulty: int, edition: int
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) -> Optional[List[Row]]:
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sql = (
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score.select(
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and_(
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score.c.pv_id == pv_id,
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score.c.difficulty == difficulty,
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score.c.edition == edition,
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)
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)
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.order_by(score.c.score.desc())
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.limit(3)
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)
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result = await self.execute(sql)
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if result is None:
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return None
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return result.fetchall()
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async def get_global_ranking(
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self, user_id: int, pv_id: int, difficulty: int, edition: int
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) -> Optional[List[Row]]:
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# get the subquery max score of a user with pv_id, difficulty and
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# edition
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sql_sub = (
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select([score.c.score])
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.filter(
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score.c.user == user_id,
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score.c.pv_id == pv_id,
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score.c.difficulty == difficulty,
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score.c.edition == edition,
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)
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.scalar_subquery()
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)
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# Perform the main query, also rename the resulting column to ranking
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sql = select(func.count(score.c.id).label("ranking")).filter(
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score.c.score >= sql_sub,
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score.c.pv_id == pv_id,
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score.c.difficulty == difficulty,
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score.c.edition == edition,
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)
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result = await self.execute(sql)
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if result is None:
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return None
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return result.fetchone()
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async def get_best_scores(self, user_id: int) -> Optional[List[Row]]:
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sql = score.select(score.c.user == user_id)
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result = await self.execute(sql)
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if result is None:
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return None
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return result.fetchall()
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async def get_playlogs(self, user_id: int, idx: int = 0, limit: int = 0) -> Optional[List[Row]]:
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sql = playlog.select(playlog.c.user == user_id)
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if limit:
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sql = sql.limit(limit)
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if idx:
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sql = sql.offset(idx)
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result = await self.execute(sql)
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if result:
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return result.fetchall()
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async def get_user_playlogs_count(self, aime_id: int) -> Optional[int]:
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sql = select(func.count()).where(playlog.c.user == aime_id)
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result = await self.execute(sql)
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if result is None:
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self.logger.warning(f"aimu_id {aime_id} has no scores ")
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return None
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return result.scalar()
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