feat(storage): library + disk statistics endpoint (§A6)
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Implement `GET /api/v1/storage`, replacing the stub. Returns aggregate
library facts (track/artist/album counts, total footprint, playtime,
per-format / per-source / metadata-status breakdowns, top genres) plus
the real capacity of the backing volume.

- domain: `LibraryStats`, `FormatBreakdown`, `DiskUsage` value objects
- ports: `FileStorage.disk_usage()` (local = shutil.disk_usage walking up
  to the nearest existing ancestor; S3 returns None — no fixed disk)
- repo: `TrackRepository.library_stats()` (single set of GROUP BYs)
- tests: storage stats API (auth, empty library, upload counting)

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Senko-san
2026-06-14 01:19:53 +03:00
parent 636820afb8
commit fa23568214
9 changed files with 371 additions and 5 deletions
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@@ -0,0 +1,45 @@
"""Storage / library statistics response schemas (§A6)."""
import datetime as dt
from pydantic import BaseModel
class DiskUsageOut(BaseModel):
total: int
used: int
free: int
class FormatBreakdownOut(BaseModel):
file_format: str
track_count: int
total_size: int
class GenreCountOut(BaseModel):
genre: str
track_count: int
class StorageStatsOut(BaseModel):
"""Everything the Storage screen needs in a single call."""
# library catalogue
total_tracks: int
total_artists: int
total_albums: int
total_size: int
total_duration_seconds: int
largest_track_size: int
earliest_added: dt.datetime | None
latest_added: dt.datetime | None
# breakdowns
by_format: list[FormatBreakdownOut]
by_metadata_status: dict[str, int]
by_source: dict[str, int]
top_genres: list[GenreCountOut]
# backing volume (``None`` for object-store backends)
disk: DiskUsageOut | None
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@@ -4,11 +4,70 @@ from typing import Any
from fastapi import APIRouter
from app.api.deps import (
AlbumRepoDep,
ArtistRepoDep,
CurrentUser,
FileStorageDep,
TrackRepoDep,
)
from app.api.schemas.storage import (
DiskUsageOut,
FormatBreakdownOut,
GenreCountOut,
StorageStatsOut,
)
router = APIRouter(prefix="/storage", tags=["storage"])
# How many of the most common genres the dashboard surfaces.
_TOP_GENRES = 8
@router.get("")
async def get_storage_stats() -> Any: ...
async def get_storage_stats(
track_repo: TrackRepoDep,
artist_repo: ArtistRepoDep,
album_repo: AlbumRepoDep,
storage: FileStorageDep,
_: CurrentUser,
) -> StorageStatsOut:
"""Library + disk statistics for the Storage dashboard (§A6).
Aggregates come from the catalogue (cheap GROUP BYs); ``disk`` reflects the
real backing volume and is ``None`` for backends without a fixed-capacity
disk (e.g. object stores)."""
stats = await track_repo.library_stats()
total_artists = await artist_repo.count(q=None)
total_albums = await album_repo.count(artist_id=None, q=None)
genres = await track_repo.genres()
disk = await storage.disk_usage()
return StorageStatsOut(
total_tracks=stats.total_tracks,
total_artists=total_artists,
total_albums=total_albums,
total_size=stats.total_size,
total_duration_seconds=stats.total_duration_seconds,
largest_track_size=stats.largest_track_size,
earliest_added=stats.earliest_added,
latest_added=stats.latest_added,
by_format=[
FormatBreakdownOut(
file_format=f.file_format,
track_count=f.track_count,
total_size=f.total_size,
)
for f in stats.by_format
],
by_metadata_status=stats.by_metadata_status,
by_source=stats.by_source,
top_genres=[
GenreCountOut(genre=genre, track_count=count)
for genre, count in genres[:_TOP_GENRES]
],
disk=DiskUsageOut(total=disk.total, used=disk.used, free=disk.free) if disk else None,
)
@router.get("/duplicates")