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.
Enhanced handling of artist data to support both string and object formats across the database, sync service, and web server. The sync process now preserves full album and artist objects for tracks, enabling wishlist additions with album cover art. The frontend and API were updated to use the full artist objects, and the UI now formats artist names correctly.
Introduces API endpoints and UI elements to view and change the application's log level from the web interface. Log level changes are applied immediately and persisted in the database. Updates backend logic, logging utilities, and frontend scripts to support this feature.
Introduces backend API endpoints to remove individual tracks or all tracks from an album in the wishlist. Updates the frontend to display delete buttons for tracks and albums, with confirmation modals before removal, and styles these new UI elements for clarity and usability.
Introduces backend and frontend functionality to list and select Jellyfin music libraries. Adds API endpoints, updates the client logic, and provides a UI selector for users to choose their preferred Jellyfin music library.
Implements automatic cleanup of completed, errored, or cancelled batches after 5 minutes to prevent stale state. Adds stuck task detection for 'searching' and 'post_processing' states, forcing failure or completion if tasks exceed time thresholds. Updates batch completion logic to track completion timestamps and handle orphaned tasks more robustly. Also improves wishlist auto-processing timer management.
Adds support for sending specific track IDs from the frontend to the backend when starting wishlist missing downloads. This ensures only the tracks currently visible to the user are processed, preventing race conditions if the wishlist changes between modal open and analysis start. Category filtering remains for backward compatibility.
When an artist is added to the watchlist, their image is now fetched from Spotify and cached in the database immediately if available. This improves user experience by ensuring artist images are present without requiring a separate fetch.
Added logic to both automatic and manual wishlist processing to check for and remove tracks that already exist in the library before initiating downloads. This prevents unnecessary bandwidth usage and keeps the wishlist up to date.
Improves handling of concurrent wishlist and watchlist operations by moving scheduling outside the lock and using flags to avoid deadlocks. This change ensures that scheduling the next wishlist processing does not occur while holding the lock, reducing risk of deadlock and improving code clarity.
Introduces timestamp-based stuck-flag detection and auto-recovery for both wishlist auto-processing and watchlist auto-scanning, preventing indefinite blocking if a process crashes. Refactors watchlist auto-scanning to use a timer-based system (mirroring wishlist), adds smart mutual exclusion between wishlist and watchlist automation, and ensures flags are always reset on completion or error. Improves startup diagnostics to recover stuck flags, and enhances logging and scheduling for both automation systems.
Implements manual track matching (discovery fix modal) for YouTube, Tidal, and Beatport platforms, allowing users to search and select Spotify tracks for unmatched results. Adds backend endpoints and frontend logic for updating matches, improves conversion of discovery results for sync/download, and updates Dockerfile/entrypoint for dynamic PUID/PGID/UMASK support. Includes a new DOCKER_PERMISSIONS.md guide.
Introduces backend scraping and API endpoint for Beatport genre Top 10 and Hype Top 10 tracks, with 1-hour caching. Updates frontend to load and display these lists in the genre browser modal, matching main page structure and click handling for chart discovery.
Introduces a new API endpoint to scrape tracks from multiple Beatport release URLs and integrates hero slider click handling on the rebuild page. The frontend now extracts release URLs from the hero slider and fetches track data using the new backend endpoint, improving rebuild page functionality.
Redirect URIs for Spotify and Tidal OAuth are now configurable via the web UI and settings. Updated backend clients to use the configured redirect URI if provided, improving flexibility for deployments with custom callback URLs.
Wishlist tracks are now sorted by artist and track name for consistent display. The database query for wishlist tracks now orders by date_added instead of randomly. Added logic to remove completed tracks from the wishlist during failed track processing. Updated docker-compose.yml to mount the H: drive for transfer folders.
Added helper functions to resolve Windows paths for Docker containers and to extract filenames in a cross-platform manner. Updated usage throughout web_server.py and soulseek_client.py to ensure correct path mapping and filename handling. Modified docker-compose.yml to use named volumes and mount the E: drive for better Docker compatibility.
Updated Soulseek client, web server, and docker-compose.yml to better handle service URLs when running inside Docker containers. Localhost URLs are now resolved to host.docker.internal, and Docker-specific volume mounts and extra_hosts are configured for improved interoperability between container and host services.
Introduces web server routes and UI buttons for initiating Spotify and Tidal OAuth authentication flows, with dedicated callback servers for token exchange. Updates Docker ports for OAuth callbacks and refines PKCE handling for Tidal. Improves user experience by allowing authentication directly from the web UI.
Introduces Docker deployment files (.dockerignore, Dockerfile, docker-compose.yml, docker-setup.sh, requirements-webui.txt, and README-Docker.md) for SoulSync WebUI. Refactors core/database_update_worker.py and core/media_scan_manager.py to support headless operation without PyQt6, enabling signal/callback compatibility for both GUI and non-GUI environments. Removes logs/app.log file.
Bumped version to 1.0 and updated all version references and changelog details to reflect the major release. SoulSync now features a fully rebuilt web-based UI, Docker container support, enhanced music management, and significant performance improvements.
Introduces a metadata updater backend in web_server.py, including API endpoints for starting, stopping, and checking status, and a threaded worker for updating artist metadata from Spotify. Updates script.js to add UI controls, polling, and progress display for the metadata updater, with logic to hide the tool when Jellyfin is the active server.
Introduces activity item logging for settings saves, connection tests, auto-detects, authentication flows, searches, batch cancellations, and discovery operations in web_server.py. Updates dashboard connection test API and UI to use a new endpoint and function, ensuring user actions are tracked and surfaced in the activity feed.
Introduces a global activity feed system with API endpoints for recent activities and toasts, and integrates activity tracking for key backend events (downloads, syncs, database updates, etc.). Updates the dashboard frontend to periodically fetch and display activity feed items and show toasts for recent actions. Improves error logging and reduces noise for expected 404s in Soulseek client. Adds related CSS for activity feed separators.
Introduces a new /api/system/stats endpoint in web_server.py to provide system statistics such as uptime, memory usage, download speed, and sync counts. Enhances the dashboard in script.js to periodically fetch and display service connection status and system stats, including response times for Spotify, media server, and Soulseek.
Introduces a watchlist system for tracking artists, including backend API endpoints for managing the watchlist and scanning for new releases. Updates the frontend to allow users to add/remove artists to/from the watchlist from both artist cards and detail pages, view and scan their watchlist via a modal, and see real-time scan progress. Adds related styles for watchlist UI components.
Introduces backend logic to automatically remove tracks from the wishlist if they already exist in the database after downloads or database updates. Adds a new API endpoint and frontend button for manual wishlist cleanup, allowing users to remove already-owned tracks from the wishlist. Enhances reliability and user experience by keeping the wishlist up-to-date.
Sanitizes wishlist track data for consistent backend/frontend handling, enhances wishlist process state reporting for better UI sync, and refactors frontend modal logic to prevent auto-show conflicts and ensure user-driven visibility. Also improves polling and rehydration to keep frontend state in sync with server-side auto-processing.
Introduces a new atomic cancel system (V2) for download tasks, ensuring single-step cancellation with proper worker slot management and backend-driven state. Updates both backend (web_server.py) and frontend (script.js) to support V2 cancel API, persistent cancel state, and improved UI handling for cancelling tasks, eliminating race conditions and dual state management.
Introduces backend API endpoints and frontend logic to persist and restore artist download bubble state across page refreshes. Snapshots are saved and hydrated with live download status, ensuring continuity of user progress and UI state. Includes debounce logic for efficient snapshot saving and automatic cleanup of outdated or invalid snapshots.
Refactored download monitor to handle error and timeout retries directly and consistently, removing legacy retry methods. Improved batch completion logic to ensure batches are only marked complete when all tasks are truly finished, preventing premature completion. Updated client-side polling to never stop automatically, using exponential backoff on failures, and fixed worker counting to exclude post-processing tasks. Enhanced post-processing and verification workflows to avoid double completion callbacks and ensure proper task state transitions.
Introduces a new post-processing workflow in web_server.py that verifies file existence and integrity before marking download tasks as completed. Updates status handling to include a 'post_processing' state and reflects this in the frontend UI, ensuring users see accurate progress and preventing premature completion status for downloads.
Adds server-side validation and healing for download batch worker counts to prevent ghost workers and orphaned tasks, including periodic batch state checks and recovery logic. Enhances thread safety with batch-specific locks and improves error handling in worker slot management. On the frontend, implements exponential backoff for polling failures, validates server responses, and logs worker count discrepancies for better debugging and UI consistency.
Introduces backend API and frontend integration for downloading missing tracks from artist albums and singles. Adds artist download bubbles, management modal, and related state/UI logic to script.js, with supporting styles in style.css. Also refactors some type hints in web_server.py for consistency.
