rocksky — Python SDK

Python bindings to the shared Rocksky Rust core (rocksky-sdk) via UniFFI: AppView reads, AT Protocol PDS writes (scrobble fan-out, like, follow, shout, now-playing), a local duplicate-prevention index, and the identity hashes — the same engine behind every Rocksky SDK (Ruby, Kotlin, Clojure, Erlang/Elixir/Gleam).

Install

pip install rocksky==0.7.0        # or: uv add rocksky==0.7.0

The wheel is pure-Python; the ~14 MB native library is fetched from the GitHub release on first import and cached (checksum-verified). For a local checkout, build it once:

./build-core.sh

Quickstart

from rocksky import AppView, Agent, ScrobbleInput, song_hash

# Reads — unauthenticated. Pass a base URL to override https://api.rocksky.app.
av = AppView()  # defaults to https://api.rocksky.app; AppView(base, token) for auth-gated reads
print(av.global_stats().scrobbles)
for t in av.top_tracks(10, 0):
    print(t.artist, "—", t.title)

# Typed date-window charts, and a bare title+artist resolved to canonical metadata.
from rocksky import DateInterval
for t in av.top_tracks_interval(10, 0, DateInterval.LAST_DAYS(days=7)):
    print(t.artist, "—", t.title)
meta = av.match_song("Chaser", "Calibro 35", None, None)  # JSON string

# Writes — log in once (session persisted at the given path).
agent = Agent.login_password("session.json", "alice.bsky.social", "app-password", None, None)
out = agent.scrobble(ScrobbleInput(
    title="Chaser", artist="Calibro 35",
    album="Jazzploitation", album_artist="Calibro 35", duration_ms=182320,
))
print(out.scrobble_uri)   # also artist_uri / album_uri / song_uri

API

Reads — AppView(base=None, token=None)

Pass a base URL to target a custom AppView; pass token to send Authorization: Bearer <token> on every read (for auth-gated queries).

Typed views (return dataclasses): profile(actor), scrobbles(actor, limit, offset), songs(actor, limit, offset), albums(actor, limit, offset), artists(actor, limit, offset), loved_songs(actor, limit, offset), catalog_albums, catalog_artists, catalog_songs, album_tracks(uri), artist_albums(uri), artist_tracks, scrobble_feed, scrobble(uri) (single), follows, followers, known_followers, top_tracks(limit, offset), top_artists(limit, offset), global_stats().

Typed date-window charts: top_tracks_interval(limit, offset, interval) and top_artists_interval(...), where interval is a DateInterval: DateInterval.ALL_TIME, DateInterval.LAST_DAYS(days=7), DateInterval.LAST_WEEKS(weeks=n), DateInterval.LAST_MONTHS(months=n), DateInterval.LAST_YEARS(years=n), DateInterval.RANGE(start=..., end=...) (RFC-3339 bounds). top_tracks / top_artists are the all-time shorthands.

Filtering: catalog_songs, catalog_artists, catalog_albums, and scrobble_feed take an optional RSQL filter — build one fluently with Filter:

from rocksky import AppView, Filter

flt = (
    Filter.eq("artist", "Daft Punk")
    .and_(Filter.gt("duration", 200_000))
    .or_(Filter.is_in("genre", ["house", "electro"]))
)
songs = AppView().catalog_songs(50, 0, None, flt.build())
# filter sent: artist=="Daft Punk";duration=gt=200000,genre=in=(house,electro)

Operators: eq (supports * wildcards), ne, gt, ge, lt, le, is_in, is_out, is_null, is_not_null, combined with .and_() / .or_() (parentheses inserted automatically). Scrobbles support dotted selectors like track.artist and user.handle.

Match: match_song(title, artist, mb_id, isrc) resolves a bare title+artist into full canonical metadata (returns a JSON string).

Raw-JSON long tail (each returns a JSON string): album, artist, song, playlists, playlist, stats, wrapped, scrobbles_chart, recommendations, neighbours, shouts, and more.

Universal escape hatch: av.get(nsid, params) calls any read query by NSID — params is a dict[str, str], and it returns a JSON string.

Writes — Agent

Agent.login_password(session_path, identifier, password, appview=None, dedup_path=None) returns an agent. Then:

• scrobble(ScrobbleInput) → ScrobbleResult — from full metadata, writes artist + album + song + scrobble, skipping any that already exist (with a dedup store).
• scrobble_match(ScrobbleMatchInput) → ScrobbleResult — resolves the track via match_song first, then fans out the same way. ScrobbleMatchInput(title, artist, album=None, mb_id=None, isrc=None, timestamp=None) — title/artist required; album overrides the resolved album, mb_id/isrc are match anchors, timestamp is the scrobbled-at Unix seconds (e.g. agent.scrobble_match(ScrobbleMatchInput(title="Chaser", artist="Calibro 35"))).
• create_song(SongInput), create_album(AlbumInput), create_artist(ArtistInput)
• like(uri, cid), unlike(uri), follow(did), unfollow(did)
• shout(subject_uri, subject_cid, message), reply_shout(...)
• set_now_playing(NowPlayingInput), clear_now_playing()
• refresh_session(), did(), profile()
• sync_repo() — mirror the repo into the local dedup index, returning per-collection counts as JSON (needs dedup_path)
• hydrate_from_jetstream() — keep the dedup index live off the Jetstream firehose (needs dedup_path)

Identity hashes

song_hash(title, artist, album), album_hash(album, album_artist), artist_hash(album_artist) — lowercase-hex SHA-256, identical to the server and every other Rocksky SDK.

Example

python examples/native_core.py

License

MIT.