Walks the downloads tree and reports files that fail magic-byte
validation — the "how many pre-existing files in my library are
silently truncated?" question, answered. Skips the _quarantine
subtree (already known-bad) and caps suspect_paths at 500 with a
truncated flag so the persisted report can't grow unbounded.
On-demand only: a full filesystem walk on a NAS-mounted library is
expensive and the user should choose when to pay for it. Pre-existing
files are reported, not quarantined — they may be the only copy and
the user decides what to do.
Adds GET /api/settings/library-validation (most recent report) and
POST /api/settings/library-validation/run (queue a fresh sweep).
Cached under cache.library_validation_report.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Replace the four stat cards with a compact three-card strip: 7-day activity
with inline SVG sparkline (new ActivitySparkline), Running Now / Next Check
with per-source countdown list, and System with credential health + disk
usage bar.
- Add GET /downloads/activity-timeline — per-day completed/failed/files
counts, pre-filled with zero buckets so the sparkline always has N points.
- Report filesystem-level usage via shutil.disk_usage in storage rollup,
plus a live fallback in GET /settings so the capacity bar works before
the first Celery rollup runs and for cached rows that predate the field.
- Extract Download Details into a reusable DownloadDetailsModal component
and wire Recent Activity rows to open it (previously Downloads-page only).
- Compute next scheduled check per source from global schedule_interval;
surface credential expiration/missing alerts scoped to platforms that
actually have enabled sources.
- Two-speed polling (5s when downloads are active, 30s idle) with Page
Visibility awareness so background tabs don't churn the API.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Extract identical get_async_session() and cleanup_engine() functions
from downloads.py and maintenance.py into a shared db.py module.
This eliminates code duplication and improves maintainability.
db.py imports only from app.config and SQLAlchemy to avoid circular
dependencies with the task modules that import from it.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>