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airsonicmadsonicmedia-servermusicmusic-servernavidromeopensubsonicraspberry-piself-hostedstreamerstreaming-apistreaming-audiosubsonicsubsonic-server
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* fix(scanner): stop logging expected lyrics sniff misses as warnings During a scan, embedded lyrics are parsed with an empty suffix, which puts ParseLyrics into content-sniffing mode: it tries the TTML, SRT and Lyricsfile YAML parsers in turn before falling back to plain text. Every plain-text or LRC lyric therefore fails the structured probes on its way to the fallback, and each failure was logged at warning level with no indication of which file triggered it, flooding the scan log with benign "Error parsing lyrics, falling back to plain text" messages. A probe rejecting content it does not own during sniffing is expected control flow, so it is now logged at trace instead. A parse failure under an explicitly requested suffix (e.g. a malformed .yaml/.srt/.ttml sidecar) still warns, since the user declared that format. ParseLyrics gains ctx and path parameters so any warning names the offending file and carries request context where available; all call sites are updated accordingly. Also fixes a test-isolation bug in the new logging spec: the BeforeEach swapped the process-global default logger via SetDefaultLogger but only restored the log level on cleanup, leaking the null logger and its hook into later specs in the shared model suite. * test: use spec-scoped contexts instead of context.Background in lyrics tests Replace context.Background() with GinkgoT().Context() (and b.Context() in the parse benchmarks) across the lyrics-related tests, so contexts are cancelled when each spec ends. The embeddedLyrics fixture in core/lyrics is now a hand-written literal like its sibling fixtures, removing the construction-time ParseLyrics call that could not use a spec-scoped context. * refactor(model): attach lyrics parse log attribution via context Narrow ParseLyrics back to (ctx, suffix, lang, contents), dropping the path parameter added by the previous commit. Attribution now uses the codebase's existing idiom: callers that know the source attach it with log.NewContext (e.g. "file" for the media file or sidecar), and the plugin adapter tags both the plugin name and the track, fixing probe-miss logs that misattributed plugin-returned content to the file's own tags. This removes three adjacent string parameters that were easy to swap silently, and the "" placeholder most call sites had to pass. Also hardens the logging spec from the previous commit: the null test logger is now swapped in before raising the level (SetLevel forces the current default logger to trace, so the old order left the null logger at info and trace entries never reached the hook), the sniff test now asserts probe misses are observable at trace with file attribution instead of only asserting the absence of warnings, and cleanup restores the actual previous logger — via a new return value on log.SetDefaultLogger — instead of a bare logrus.New() that would discard hooks configured on the process-wide logger. * refactor(lyrics): hoist attributed log contexts out of loops Address review feedback on #5702: build the log-attributed context once per operation instead of per iteration, and reuse it on the surrounding log calls so the error/trace lines around ParseLyrics carry the same attribution fields. In fromExternalFile the sidecar path now rides the context for all log lines in the function, replacing the repeated explicit "path" field. * style(model): pass lyrics parse errors as final log arguments Per the project logging convention, errors go as the last argument (the log package normalizes them via its error case) instead of a keyed "error" pair, which stores the raw error value and bypasses that handling. Flagged by review on #5702; the keyed form was inherited from the original warning line. |
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Navidrome Music Server 
Navidrome is an open source web-based music collection server and streamer. It gives you freedom to listen to your music collection from any browser or mobile device. It's like your personal Spotify!
Note: The master branch may be in an unstable or even broken state during development.
Please use releases instead of
the master branch in order to get a stable set of binaries.
Check out our Live Demo!
Any feedback is welcome! If you need/want a new feature, find a bug or think of any way to improve Navidrome, please file a GitHub issue or join the discussion in our Subreddit. If you want to contribute to the project in any other way (ui/backend dev, translations, themes), please join the chat in our Discord server.
Installation
See instructions on the project's website
Cloud Hosting
PikaPods has partnered with us to offer you an officially supported, cloud-hosted solution. A share of the revenue helps fund the development of Navidrome at no additional cost for you.
Features
- Handles very large music collections
- Streams virtually any audio format available
- Reads and uses all your beautifully curated metadata
- Great support for compilations (Various Artists albums) and box sets (multi-disc albums)
- Multi-user, each user has their own play counts, playlists, favourites, etc...
- Very low resource usage
- Multi-platform, runs on macOS, Linux and Windows. Docker images are also provided
- Ready to use binaries for all major platforms, including Raspberry Pi
- Automatically monitors your library for changes, importing new files and reloading new metadata
- Supports lyrics from sidecar .ttml, .yaml/.yml Lyricsfile, .elrc, .lrc, .srt, .txt files and embedded TTML, Enhanced LRC, LRC, SRT, and plain-text tags (via
lyricspriority) - Themeable, modern and responsive Web interface based on Material UI
- Compatible with all Subsonic/Madsonic/Airsonic clients
- Transcoding on the fly. Can be set per user/player. Opus encoding is supported
- Translated to various languages
Translations
Navidrome uses POEditor for translations, and we are always looking for more contributors
Documentation
All documentation can be found in the project's website: https://www.navidrome.org/docs. Here are some useful direct links:
Screenshots
