1
0
forked from Hay1tsme/artemis
artemis-bugfix/titles/wacca/schema/static.py

69 lines
2.3 KiB
Python

from sqlalchemy import Table, Column, UniqueConstraint, PrimaryKeyConstraint, and_
from sqlalchemy.types import Integer, String, TIMESTAMP, JSON, Boolean, Float
from sqlalchemy.schema import ForeignKey
from sqlalchemy.sql import func, select
from sqlalchemy.engine import Row
from sqlalchemy.dialects.mysql import insert
from typing import Optional, List, Dict, Any
from core.data.schema import BaseData, metadata
from core.data import cached
music = Table(
"wacca_static_music",
metadata,
Column("id", Integer, primary_key=True, nullable=False),
Column("version", Integer, nullable=False),
Column("songId", Integer),
Column("chartId", Integer),
Column("title", String(255)),
Column("artist", String(255)),
Column("bpm", String(255)),
Column("difficulty", Float),
Column("chartDesigner", String(255)),
Column("jacketFile", String(255)),
UniqueConstraint("version", "songId", "chartId", name="wacca_static_music_uk"),
mysql_charset='utf8mb4'
)
class WaccaStaticData(BaseData):
def put_music(self, version: int, song_id: int, chart_id: int, title: str, artist: str, bpm: str,
difficulty: float, chart_designer: str, jacket: str) -> Optional[int]:
sql = insert(music).values(
version = version,
songId = song_id,
chartId = chart_id,
title = title,
artist = artist,
bpm = bpm,
difficulty = difficulty,
chartDesigner = chart_designer,
jacketFile = jacket
)
conflict = sql.on_duplicate_key_update(
title = title,
artist = artist,
bpm = bpm,
difficulty = difficulty,
chartDesigner = chart_designer,
jacketFile = jacket
)
result = self.execute(conflict)
if result is None:
self.logger.warn(f"Failed to insert music {song_id} chart {chart_id}")
return None
return result.lastrowid
def get_music_chart(self, version: int, song_id: int, chart_id: int) -> Optional[List[Row]]:
sql = select(music).where(and_(
music.c.version == version,
music.c.songId == song_id,
music.c.chartId == chart_id
))
result = self.execute(sql)
if result is None: return None
return result.fetchone()