Introduce an optional "Blasphemy Mode" that deletes the original FLAC after a verified MP3 copy is created.
- config: add lossy_copy.delete_original (default: false).
- webui/index.html & static script: add checkbox and warning in settings UI and persist the setting.
- web_server.py: make _create_lossy_copy return the MP3 path when it deletes the FLAC (otherwise None); validate the MP3 using mutagen before removing the FLAC; rename associated .lrc files if present; update post-processing to use the final processed path in logs and wishlist checks and to consider .mp3 variants when FLAC may have been removed.
Behavior is off by default and includes safety checks and logging to avoid accidental deletion of originals.
Introduce a configurable "lossy_copy" feature that creates an MP3 copy alongside downloaded FLAC files. Adds default config (example and runtime) and UI controls for enabling the feature and selecting an MP3 bitrate. Implements _create_lossy_copy in web_server.py which checks the FLAC extension, respects the configured bitrate (default 320 kbps), locates ffmpeg (including a local tools/ffmpeg fallback), performs conversion, and attempts to update the QUALITY tag via mutagen. The feature is invoked after post-processing/moving downloads. Logs and graceful failures (missing ffmpeg, timeouts, tag errors) are included.
Added an Import feature that lets users process local audio files through the existing post-processing pipeline (metadata enrichment, cover art, lyrics, library organization). Files are placed in a configurable Staging folder and imported via two modes: Album mode (search/match files to a Spotify tracklist) and Singles mode (select individual files for processing). Includes auto-suggested albums based on staging folder contents and real-time per-track progress tracking.
Enrich downloaded audio files with external identifiers and improved genre metadata in a single post-processing write. During metadata enhancement, the app now looks up the MusicBrainz recording and artist MBIDs, retrieves the ISRC and MusicBrainz genres from a follow-up detail lookup, merges them with Spotify's artist-level genres (deduplicated, capped at 5), and embeds everything alongside the Spotify/iTunes track, artist, and album IDs. All MusicBrainz API calls are serialized through the existing global rate limiter, making concurrent download workers safe without needing to pause the background worker. Includes a database migration adding Spotify/iTunes ID columns to the library tables.
Add optional post-download audio fingerprint verification using AcoustID.
Downloads are verified against expected track/artist using fuzzy string
matching on AcoustID results. Mismatched files are quarantined and
automatically added to the wishlist for retry.
- AcoustID verification with title/artist fuzzy matching (not MBID comparison)
- Quarantine system with JSON metadata sidecars for failed verifications
- fpcalc binary auto-download for Windows, macOS (universal), and Linux
- MusicBrainz enrichment worker with live status UI and track badges
- Settings page AcoustID section with real-fingerprint connection test
- Source reuse for album downloads to keep tracks from same Soulseek user
- Enhanced search queries for better track matching
- Bug fixes: wishlist tracking, album splitting, regex & handling, log rotation
Introduces a reload_config method to SpotifyClient and refactors ConfigManager to support reloading configuration from a file. Updates web_server.py to use the new config loading mechanism, ensuring configuration is loaded into the existing singleton instance and SpotifyClient is properly re-initialized after settings changes.
Introduces a DownloadOrchestrator class to route downloads between Soulseek and YouTube based on user-configurable modes (Soulseek only, YouTube only, Hybrid with fallback). Updates web server and UI to support new download source settings, including hybrid mode options and YouTube confidence threshold. Refactors YouTube client for thread-safe download management and bot detection bypass. Ensures quality filtering is skipped for YouTube results and improves file matching and post-processing logic for YouTube downloads.
Updated Dockerfile, entrypoint.sh, and Python code to store database files in /app/data instead of /app/database, avoiding conflicts with the Python package. The database path is now configurable via the DATABASE_PATH environment variable, improving flexibility for container deployments.
ConfigManager now stores configuration in a SQLite database instead of a JSON file. The class supports migration from existing config.json files and falls back to defaults if no configuration is found. This change improves reliability and centralizes configuration management.
