Lyra/README.md

# 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:

1. **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`.
2. **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.
3. **Discovery** — ✅ **done**. Recommendation-driven finding of new music via
   **ListenBrainz** similar-artists and **Last.fm** `artist.getSimilar` (both
   MBID-native), behind a pluggable `SimilaritySource` interface — 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/`](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/`](docs/superpowers/specs/) for the full design.

## Running it

```sh
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.