normalize_string() was running unidecode on all text, converting
Japanese kanji to Chinese pinyin gibberish (命の灯火 → "tvanimedei").
Now detects CJK characters (kanji, hiragana, katakana, hangul,
fullwidth forms) and skips unidecode for text containing them —
just lowercases instead. Non-CJK text (Latin accents, Cyrillic)
still goes through unidecode normally.
When artist or title contains non-ASCII characters (Japanese, Chinese,
Korean, etc.), prepend the original un-romanized text as the first
search query. unidecode converts Japanese kanji to Chinese pinyin
(e.g. "藤澤慶昌" → "wu zhi zhuan sheng") which never matches on
Soulseek. The original characters match filenames directly.
Romanized fallback queries are still generated after for coverage.
Zero impact on ASCII-only tracks (isascii check skips them).
- Add max_peer_queue setting to skip peers with long queues (soft filter
with fallback to unfiltered if all results removed)
- Add download_timeout setting replacing hardcoded 10-minute limit
- Include quality_score (peer health: upload speed, free slots, queue
length) in result ranking — was calculated but never used in sort key
- New UI controls in Soulseek settings section
New download mode alongside Soulseek, YouTube, Tidal, and Qobuz. Uses
community-run REST API instances (no auth required) that serve Tidal CDN
FLAC streams. Features quality fallback chain (hires→lossless→high→low),
automatic instance rotation on failure, and full hybrid mode support.
Also fixes 6 missing streaming source checks for HiFi and Qobuz in the
frontend that were blocking playback with "format not supported" errors.
Introduce a generic score_track_match(...) in core/matching_engine.py and make calculate_match_confidence(...) delegate to it. The new scorer is source-agnostic, consolidates artist/title/duration logic (core-title fast path, cleaned similarity, weighted 60/30/10 scoring) and improves artist matching.
In web_server.py add cache-validation (_validate_discovery_cache_artist) and a reusable _discovery_score_candidates(...) helper that calls the new scorer. Propagate per-match confidence through discovery flows (Tidal, YouTube, ListenBrainz, Beatport), increase Spotify/iTunes search limits, add an extended high-limit search strategy, tighten per-source thresholds, and save match confidence to the discovery cache. Overall this centralizes and standardizes matching logic and improves accuracy/validation for cached discovery results.
- 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.
When downloading an album/EP, perform a single album-level search on Soulseek to find a user with the complete album folder before falling back to per-track search. This improves album completion rates and ensures consistent quality across tracks.
Introduces a new priority 0 query that combines artist, album, and title for improved matching, especially for YouTube and hybrid download modes. This helps better match tracks where the album is significant, such as soundtracks, and only applies when the album is not a generic label like 'single' or 'greatest hits'.
Adjusts matching weights for YouTube sources to rely more on title and duration, adds a shutdown callback to the YouTube client to prevent new downloads during shutdown, and enhances post-processing to reliably resolve actual YouTube file paths. Improves error handling for file removal, ensures no new batch downloads start during shutdown, and refines download monitoring to trigger post-processing on completed YouTube downloads. Also increases YouTube download retries and improves logging for debugging.
Enhances streaming logic to better support YouTube as a download source, including improved filename handling, fuzzy file matching, and search query generation. Updates format checks in the frontend to skip them for YouTube (always MP3). Refactors backend to use a unified download status API for both Soulseek and YouTube, and improves service test messaging based on the active download mode.
Enhanced the music matching engine to use stricter version handling, rebalance title/artist/duration weights, and raise confidence thresholds to reduce false positives. Updated string normalization to better handle separators and special characters. In the web UI, improved album ID sanitization and added a placeholder for missing album images in the wishlist view.
Adds strict checks to ensure Soulseek track versions (live, remix, acoustic, instrumental) are only matched if the Spotify track title contains corresponding version indicators. This prevents mismatched versions from being accepted and applies a reduced penalty for matching non-original versions.
