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.
Introduces the $year variable for album, single, and playlist path templates, allowing users to include the release year in file organization. Updates the backend to extract and provide the year, adjusts the web UI to document the new variable, and updates validation logic to recognize $year as valid in templates.
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.
Introduces 'search_timeout' and 'search_timeout_buffer' options to Soulseek settings in the config, backend, and web UI. The backend now uses these values to control search duration and polling, allowing users to fine-tune how long searches run and how long to wait for late results.
Introduces a template-based file organization system for downloads, allowing users to define custom folder and filename structures for albums, singles, and playlists. Updates the backend, config example, web UI, and client-side validation to support template editing, resetting, and error checking. Improves consistency in file placement and metadata handling across all download modes.
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.
Improves Docker integration by copying config.example.json as the default config.json and updating ownership in the Dockerfile. Adjusts config paths in config.example.json for container compatibility and updates docker-compose.yml to build the image and comment out the config volume for baked-in config testing. Also updates .dockerignore to allow config.example.json.