Automatically mirrors every parsed playlist (Spotify, Tidal, YouTube, Beatport) to a local database so they're always accessible — even if a service subscription lapses or the browser closes.
- New "Mirrored" tab on the Sync page with source-branded cards showing discovery/download status
- Auto-mirrors on successful parse (upsert — re-parsing updates the existing mirror, no duplicates)
- Click any mirrored playlist to browse its full track list, then run it through the discovery pipeline
- Cards dynamically reflect live state: Discovering → Discovered → Downloading → Downloaded
- Download modal rehydrates after page refresh — click a "Downloading..." card to resume viewing progress
- All phase transitions (start, complete, cancel, error, modal close) keep card and backend state in sync
- Profile-scoped via profile_id, consistent with other features
Allow multiple users to share a single SoulSync instance with isolated personal data. Each profile gets its own watchlist, wishlist, discovery pool, similar artists, and bubble snapshots — while sharing the same music library, database, and service credentials.
- Netflix-style profile picker on startup when multiple profiles exist
- Optional PIN protection per profile; admin PIN required when >1 profiles
- Admin-only profile management (create, edit, rename, delete)
- Profile avatar images via URL with colored-initial fallback
- Zero-downtime SQLite migration — all existing data maps to auto-created
admin profile
- Single-user installs see no changes — profile system is invisible until
a second profile is created
- WebSocket count emitters scoped to profile rooms (watchlist/wishlist)
- Background scanners (watchlist, wishlist, discovery) iterate all profiles
Incremental database updates now detect when artists or albums have been removed from your media server (Plex, Jellyfin, or Navidrome) and automatically clean them up from SoulSync's database. Previously, deleted content would persist as ghost entries until you ran a full refresh. Removal counts are reported in the scan results. Includes safety checks to prevent accidental mass deletion if the server is unreachable or returns incomplete data.
- matching_engine.py: Add 'single edit' and 'album edit' tokens and clarify radio edit comment so edit/cut variants are recognized as different cuts rather than being silently normalized away.
- database/music_database.py: Fix SQL param ordering by appending server_source to params; add a pre-step to strip "(with ...)" / "[with ...]" only when used inside brackets (so titles like "Stay With Me" are preserved); stop removing edit/version tokens in the generic cleanup and document that radio/single/album edits are treated as distinct by the similarity scorer to avoid incorrect matches.
- web_server.py: Increase DB match confidence threshold from 0.70 to 0.80 and update the runtime check accordingly.
These changes prevent edit/cut variants from being conflated with original recordings, improve title normalization for "with" featuring syntax in brackets, and fix a params ordering bug and a too-low match threshold.
Add support for cycling hero/featured similar artists by introducing a last_featured timestamp and using it to prefer least-recently-featured artists. Changes include:
- DB migration: add _add_similar_artists_last_featured_column and call it during migrations to add a last_featured TIMESTAMP column (non-fatal on error).
- Query changes: get_top_similar_artists now excludes watchlist artists via a LEFT JOIN and wa.id IS NULL and orders results by last_featured (nulls first), then by last_featured asc, occurrence_count desc, and similarity_rank asc. The query aliasing was also added for clarity.
- New helper: mark_artists_featured updates similar_artists.last_featured = CURRENT_TIMESTAMP for shown artists.
- Web server: increase fetch limit to 50, remove random shuffle and instead take the top 10 (already ordered by cycling logic), and call mark_artists_featured to rotate featured artists.
These changes aim to provide deterministic, least-recently-shown cycling of hero artists while keeping watchlist artists out of recommendations.
Prefer an album's stored track count when owned_tracks meets or exceeds it (avoids marking a complete standard edition as incomplete when an external source reports a larger deluxe count). Add more robust edition-detection regexes and generic catch-alls (parenthesized/bracketed text containing "edition") in music_database.py and web_server.py, and include silver/gold/platinum edition variants. Also tidy related regex handling and comments to improve matching for varied edition naming (e.g. "MMXI Special Edition").
Introduce a new Retag tool to track and re-tag previously downloaded albums/singles. Changes include:
- Database: add migration hook and create retag_groups and retag_tracks tables, indexes, and many helper methods (add/find/update/delete groups & tracks, stats, trimming).
- Backend (web_server): capture completed album/single downloads into the retag tables, implement retag execution logic (_execute_retag) to fetch album metadata, match tracks, update tags, move files, download cover art, and update DB. Add thread-safe globals, executor, and REST endpoints for stats, listing groups, group tracks, album search, execute, status, and delete.
- Frontend (webui): add Retag Tool card, modals, search UI, JS to list groups/tracks, search albums, start retag operations, poll status, and update UI; include help content. Add CSS for modals and components.
The migration is invoked during DB init to ensure existing installations create the new tables. The tool caps stored groups (default 100) and avoids duplicate track entries.
When clearing the wishlist or changing the discovery lookback period, reset watchlist_artists.last_scan_timestamp to NULL so subsequent scans can re-discover older releases that were previously filtered by an earlier scan timestamp. clear_wishlist now deletes wishlist_tracks, updates last_scan_timestamp for all watchlist artists, and logs the number of tracks cleared and artists reset. set_discovery_lookback_period also resets last_scan_timestamp and reports how many artists were reset. Minor whitespace cleanups in watchlist_scanner and web_server included.
Add a release_date field to the Track dataclass for both iTunes and Spotify clients (iTunes: parsed from releaseDate, Spotify: from album.release_date). Propagate release_date into enhanced search results in web_server and into the client-side script so album objects include release_date when available. Also broaden playlistId matching in the missing-tracks process to include 'enhanced_search_track_'. Removed SQLite SHM/WAL files from the repo (cleanup of DB temporary files). These changes enable showing and using track release dates across the app.
