vicrodh
408b3c8308
New frontend-agnostic crate qbz-external-reco: blends Last.fm + ListenBrainz recommendation signals into the Discover "External Recommendations" carousels, validating every candidate against the Qobuz catalog (ISRC direct -> MusicBrainz inc=isrcs bridge -> fuzzy text scorer, gated) before display. Four carousels (C1 similar artists / C2 similar tracks you haven't heard, C3 listened-but-not- recently, C4 deep cuts from known artists) capped at 20 with daily rotation over a larger cache-backed pool, plus a Qobuz-editorial cold-start fallback (top albums + artists) when no external source is connected. Round-robin blend across sources. Resolution cache (per-user SQLite, 30d hits / 7d misses, WAL). Supporting public read methods added to qbz-integrations: - Last.fm: get_top_artists / get_top_tracks / get_loved_tracks / get_recent_tracks / get_similar_tracks (public reads via the Cloudflare proxy). - ListenBrainz: get_cf_recommendations / get_recent_listens / get_metadata_recordings (204/404 -> empty, never error). - MusicBrainz: get_recording_isrcs (the MBID -> ISRC bridge). Engine is headless and unit-tested (matching + cache); no qbz-ui dependency. cc
26 lines
660 B
TOML
26 lines
660 B
TOML
[package]
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name = "qbz-external-reco"
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version.workspace = true
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edition.workspace = true
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license.workspace = true
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description = "Frontend-agnostic external-recommendations engine (Last.fm + ListenBrainz -> Qobuz) for Discover"
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[dependencies]
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qbz-integrations = { path = "../qbz-integrations" }
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qbz-models = { path = "../qbz-models" }
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# Async
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tokio = { workspace = true }
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async-trait = { workspace = true }
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futures-util = { workspace = true }
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# Serialization
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serde = { workspace = true }
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serde_json = { workspace = true }
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# Cache (per-user SQLite, WAL per ADR-002)
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rusqlite = { version = "0.31", features = ["bundled"] }
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# Logging
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log = { workspace = true }
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