SlskdClient enqueued the transfer and polled to Completed but never moved any
files into `dest` — slskd saves them to its OWN downloads dir, so staging stayed
empty and every Soulseek job failed "incomplete download". Qobuz/YouTube write
straight into staging and were unaffected.
- SlskdClient._retrieve() moves the finished files out of slskd's downloads dir
into staging after completion, matching tolerantly by basename and preferring
a parent-folder + size match (slskd's on-disk layout varies by version).
- download() returns the moved count as track_count so the pipeline's
completeness check reflects what actually landed; raises loudly if nothing was
found (misconfigured/unmounted downloads dir).
- Downloads dir resolves slskd.downloadsDir Config > SLSKD_DOWNLOADS_ROOT env >
/slskd-downloads default; docker-compose mounts ${SLSKD_DOWNLOADS_DIR} there.
- .env.example documents SLSKD_DOWNLOADS_DIR; retrieval unit-tested offline.
slskd runs as an external daemon, so the shared dir must be a host path both
slskd and the worker mount — set once Lyra runs on the slskd host. Not yet
verified live end-to-end (no slskd access from this VM).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Lyra
Self-hosted, multi-source music acquisition and library tool — a replacement for Lidarr + NZBget. Lyra discovers, ranks, downloads, tags, and organizes music across sources of differing quality: Qobuz (lossless/hi-res), Soulseek (P2P), and YouTube (universal lossy fallback), with recommendation-driven discovery via ListenBrainz and Last.fm (Spotify's recommendation/related-artists APIs were retired for new apps, so discovery is MetaBrainz-native and MBID-clean — no Spotify).
Status
Built in three slices:
- Acquisition engine — ✅ done. Resolve a request against MusicBrainz,
match/rank across Qobuz/Soulseek/YouTube, download the best source into an
isolated staging dir, verify completeness, tag (mutagen), and atomically promote
the clean album into
Artist/Album (Year)/## Title.ext. - Library manager — ✅ done. Watched artists (live MB search + follow), per-release monitor toggles + auto-monitor-future, a wanted list with retry + quality-upgrade window, and a worker "monitor" that discovers new releases and auto-grabs through the acquisition pipeline. Plus a library scan that ingests existing on-disk albums as have + monitored + followed, and a per-artist studio-only / show-all release-type filter.
- Discovery — ✅ done. Recommendation-driven finding of new music via
ListenBrainz similar-artists and Last.fm
artist.getSimilar(both MBID-native), behind a pluggableSimilaritySourceinterface — Last.fm registers as a second source automatically once its API key is set, and cross-source scores are summed per candidate. A background sweep (and a "Discover now" button) aggregates artists similar to the ones you follow into a manual review feed of suggested artists and albums at/discover; Follow and Want reuse the slice-2 follow / wanted flows, Dismiss is permanent. Plus a web-side seed-search box. Every suggestion and seed-search result opens a read-only artist preview (/discover/artist/[mbid]) — discography, per-album tracklists, and "in library" / "monitored" badges — where you can Follow or Want before committing. No Spotify (its recommendation APIs are dead for new apps).
Alongside the three slices:
- Last.fm browse (
/lastfm) — your Last.fm top artists and albums (by period), with a "hide items already in my library" toggle; each artist opens a modal of your most-played songs and albums, and every album is one click to Want. - Library (
/library) — a cover-art grid of everything on disk, filterable, each album opening a tracklist modal. - The Floor (home) — a live queue of in-flight acquisitions with three-phase progress (Searching → Downloading → Finishing), a live download percentage, a per-job "pressing ticket" (source · format · tracks · elapsed), and a Retry button on anything that needs attention.
The whole UI runs a hand-rolled "Pressing Plant" design system (warm-paper theme, self-hosted Fraunces serif for prose vs. system mono for machine data, light/dark aware).
Operational notes: the monitor and the discovery sweep are both off by
default — set monitor.enabled=true (or Settings → Monitor, + optional monitor.*
tuning) to activate auto-grab/upgrade, and discover.enabled=true (or
Settings → Discovery, + optional discover.* tuning) to activate the scheduled
discovery sweep. The /discover "Discover now" button and seed-search work with the
sweep off. Credentials (Qobuz, Soulseek, Last.fm) are entered in Settings and persist
across docker compose up -d --build rebuilds (don't use down -v; secrets are
encrypted at rest with LYRA_SECRET_KEY). Tests run against a separate lyra_test
database (a guard blocks the live DB). Deferred hardening + the full roadmap live in
the implementation-plan "Notes" sections under
docs/superpowers/plans/.
Architecture
The docker compose stack is three services on a home server:
- db — Postgres, the shared source of truth.
- web — the Next.js app: UI + API (search, request, queue, progress, settings).
- worker — the Python worker: all source integration (streamrip, yt-dlp, slskd client, mutagen; MusicBrainz + ListenBrainz + Last.fm for metadata and discovery), running the six-stage acquisition pipeline plus the background monitor and discovery sweeps.
Soulseek support talks to an external slskd daemon (an off-the-shelf headless
Soulseek client) — the worker reaches it via the slskd.url + slskd.api_key
credentials set in Settings, so run slskd separately rather than as part of this stack.
A shared /music volume is the library, with a separate /staging volume for
in-progress downloads (point STAGING_DIR at a fast local disk when MUSIC_DIR is a
network share).
See docs/superpowers/specs/ for the full design.
Running it
cp .env.example .env # then edit: set LYRA_SECRET_KEY (openssl rand -base64 32) and MUSIC_DIR
docker compose up -d --build # web on http://localhost:8770 ; NEVER `down -v` (wipes the Postgres volume)
The web entrypoint runs prisma migrate deploy on every rebuild, so schema changes
reach the live DB automatically. Enter Qobuz / Soulseek / Last.fm credentials in
Settings (they persist across rebuilds), then follow an artist or request an album
to feed The Floor.