artemis/titles/diva/schema/score.py
ThatzOkay 7aa3cf82f1 Diva front end (#150)
Basic diva frontend implemented. Changing name and level string working. And some basic playlog page which needs more data

Co-authored-by: = <=>
Reviewed-on: #150
Co-authored-by: ThatzOkay <thatzokay@noreply.gitea.tendokyu.moe>
Co-committed-by: ThatzOkay <thatzokay@noreply.gitea.tendokyu.moe>
2024-06-22 02:03:02 +00:00

262 lines
7.6 KiB
Python

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