Files
mcma-backend/app/infrastructure/db/repositories/like_repository.py
T
Senko-san 5c5df5d3cc feat(storage): S3-compatible storage adapter + storage_uri rename
Add S3FileStorage adapter (any S3-compatible backend: AWS, MinIO, Garage)
alongside the local adapter, selected via STORAGE_BACKEND. Proxied range
streaming via get_object+Range; as_local_path downloads to a tempfile for
ffmpeg/fpcalc. Rename track.file_path -> storage_uri across domain entity,
ORM, repositories, port, and services, with an Alembic migration. Adds
mocked S3 unit tests.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-08 17:11:35 +03:00

151 lines
4.7 KiB
Python

"""Like repository — adapter over ``AsyncSession``.
Likes are an append-only event log. Current state = latest event per (user, track).
"""
import uuid
from sqlalchemy import func, select
from sqlalchemy.ext.asyncio import AsyncSession
from app.domain.entities.like import Like
from app.domain.entities.track import Track
from app.infrastructure.db.models.like import LikeModel
from app.infrastructure.db.models.track import TrackModel
def _to_entity(row: LikeModel) -> Like:
return Like(
id=row.id,
user_id=row.user_id,
track_id=row.track_id,
value=row.value,
created_at=row.created_at,
)
def _track_to_entity(row: TrackModel) -> Track:
return Track(
id=row.id,
title=row.title,
artist_id=row.artist_id,
album_id=row.album_id,
storage_uri=row.storage_uri,
file_format=row.file_format,
file_size=row.file_size,
source=row.source,
source_id=row.source_id,
duration_seconds=row.duration_seconds,
genre=row.genre,
year=row.year,
metadata_status=row.metadata_status,
created_at=row.created_at,
updated_at=row.updated_at,
)
class SqlAlchemyLikeRepository:
def __init__(self, session: AsyncSession) -> None:
self._session = session
async def add(self, *, user_id: uuid.UUID, track_id: uuid.UUID, value: str) -> Like:
row = LikeModel(user_id=user_id, track_id=track_id, value=value)
self._session.add(row)
await self._session.flush()
await self._session.refresh(row)
return _to_entity(row)
async def get_latest_state(
self, *, user_id: uuid.UUID, track_ids: list[uuid.UUID]
) -> list[Like]:
if not track_ids:
return []
# Subquery: max(created_at) per track for this user
max_sq = (
select(
LikeModel.track_id,
func.max(LikeModel.created_at).label("latest"),
)
.where(LikeModel.user_id == user_id, LikeModel.track_id.in_(track_ids))
.group_by(LikeModel.track_id)
.subquery()
)
rows = (
(
await self._session.execute(
select(LikeModel)
.join(
max_sq,
(LikeModel.track_id == max_sq.c.track_id)
& (LikeModel.created_at == max_sq.c.latest),
)
.where(LikeModel.user_id == user_id)
)
)
.scalars()
.all()
)
return [_to_entity(r) for r in rows]
async def list_liked_tracks(
self, *, user_id: uuid.UUID, limit: int, offset: int
) -> list[Track]:
# Tracks where the latest like event has value='like', ordered by like time desc
max_sq = (
select(
LikeModel.track_id,
func.max(LikeModel.created_at).label("latest"),
)
.where(LikeModel.user_id == user_id)
.group_by(LikeModel.track_id)
.subquery()
)
liked_sq = (
select(LikeModel.track_id, LikeModel.created_at)
.join(
max_sq,
(LikeModel.track_id == max_sq.c.track_id)
& (LikeModel.created_at == max_sq.c.latest),
)
.where(LikeModel.user_id == user_id, LikeModel.value == "like")
.subquery()
)
rows = (
(
await self._session.execute(
select(TrackModel)
.join(liked_sq, TrackModel.id == liked_sq.c.track_id)
.order_by(liked_sq.c.created_at.desc())
.limit(limit)
.offset(offset)
)
)
.scalars()
.all()
)
return [_track_to_entity(r) for r in rows]
async def count_liked_tracks(self, *, user_id: uuid.UUID) -> int:
max_sq = (
select(
LikeModel.track_id,
func.max(LikeModel.created_at).label("latest"),
)
.where(LikeModel.user_id == user_id)
.group_by(LikeModel.track_id)
.subquery()
)
liked_sq = (
select(LikeModel.track_id)
.join(
max_sq,
(LikeModel.track_id == max_sq.c.track_id)
& (LikeModel.created_at == max_sq.c.latest),
)
.where(LikeModel.user_id == user_id, LikeModel.value == "like")
.subquery()
)
return (
await self._session.execute(select(func.count()).select_from(liked_sq))
).scalar_one()