fa23568214
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>
46 lines
962 B
Python
46 lines
962 B
Python
"""Storage / library statistics response schemas (§A6)."""
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import datetime as dt
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from pydantic import BaseModel
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class DiskUsageOut(BaseModel):
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total: int
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used: int
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free: int
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class FormatBreakdownOut(BaseModel):
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file_format: str
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track_count: int
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total_size: int
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class GenreCountOut(BaseModel):
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genre: str
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track_count: int
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class StorageStatsOut(BaseModel):
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"""Everything the Storage screen needs in a single call."""
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# library catalogue
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total_tracks: int
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total_artists: int
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total_albums: int
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total_size: int
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total_duration_seconds: int
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largest_track_size: int
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earliest_added: dt.datetime | None
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latest_added: dt.datetime | None
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# breakdowns
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by_format: list[FormatBreakdownOut]
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by_metadata_status: dict[str, int]
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by_source: dict[str, int]
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top_genres: list[GenreCountOut]
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# backing volume (``None`` for object-store backends)
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disk: DiskUsageOut | None
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