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719a6372ad
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719a6372ad | ||
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61ce751ac5 |
@@ -110,17 +110,21 @@ unmatched by an artist the library holds: N pairs, M plays
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```
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That is a track that was played by an artist the library holds. It is then
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split again, because owning an artist is a weak proxy for owning a track:
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split three ways, because owning an artist is a weak proxy for owning a track
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and a shared title is a weak proxy for a shared song:
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- **the title exists under another artist** — an attribution disagreement, a
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remixer or a guest billed as the artist. These are the genuine misses, and
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each is a candidate for being wrongly called cold in stage four. The report
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names the artist the library files them under.
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- **the title is nowhere in the library** — never bought. No amount of matching
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conjures a file that does not exist.
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- **the library's own title credits the scrobbled artist** — `Voodoo People
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(Pendulum Remix)` against a play credited to Pendulum. Same song, filed
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under the original artist. These are the genuine misses.
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- **the same title under an unrelated artist** — a collision, not a miss.
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Across fifty thousand tracks these are constant: `Everyday` is Rusko and
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also Def Leppard, `Kaleidoscope` is Delta Heavy and also Chappell Roan.
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Matching on title alone would be far worse than missing them, which is why
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there is no such tier.
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- **the title is nowhere in the library** — never bought.
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Counting both as matcher failures overstates the problem and would over-block
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the cull. The report lists the worst of each by play count.
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Only the first is worth chasing. Counting all three as matcher failures
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overstates the problem and would over-block the cull.
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## How the ingest works
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+41
-15
@@ -141,6 +141,11 @@ CREATE TABLE IF NOT EXISTS lidarr_track (
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);
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CREATE INDEX IF NOT EXISTS lidarr_track_recording ON lidarr_track (recording_mbid);
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CREATE INDEX IF NOT EXISTS lidarr_track_norm ON lidarr_track (norm_artist, norm_title);
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-- Separate from the composite above, which a lookup by title alone cannot use:
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-- its leading column is the artist. The report searches by title on its own, and
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-- without this it scans every track for every unmatched key -- forty-seven
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-- seconds on a library of eighty-four thousand.
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CREATE INDEX IF NOT EXISTS lidarr_track_title ON lidarr_track (norm_title);
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CREATE INDEX IF NOT EXISTS lidarr_track_album ON lidarr_track (album_id);
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-- One row per distinct thing listened to, with the verdict on whether it could
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@@ -1125,47 +1130,68 @@ def coverage_report(store):
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)
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# Owning an artist is a weak proxy for owning a track, so that figure alone
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# overstates the matcher's failings. Split it. A title the library holds
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# under some other artist is an attribution disagreement -- a remixer
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# credited as the artist, a guest billed as one -- and is a real miss. A
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# title the library does not hold at all was simply never bought, and no
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# amount of matching will conjure it.
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# overstates the matcher's failings. Split it -- but not on the title alone.
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# Across fifty thousand tracks, titles collide constantly: "Everyday" is
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# Rusko and also Def Leppard, "Kaleidoscope" is Delta Heavy and also
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# Chappell Roan. Matching those would be worse than missing them.
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#
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# The signal for a genuine attribution miss is that the library's own title
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# credits the artist the scrobble is filed under -- "Voodoo People (Pendulum
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# Remix)" against a play credited to Pendulum. The normalised title has that
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# suffix stripped, which is exactly what let them meet, so the raw one has to
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# be searched for the name.
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attribution = store.connection.execute(
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"SELECT COUNT(*) AS pairs, COALESCE(SUM(plays), 0) AS plays FROM scrobble_key k"
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" WHERE k.track_id IS NULL"
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" AND EXISTS (SELECT 1 FROM lidarr_artist a WHERE a.norm_name = k.norm_artist)"
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" AND EXISTS (SELECT 1 FROM lidarr_track t"
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" WHERE t.norm_title = k.norm_track"
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" AND instr(lower(t.title), lower(k.artist)) > 0)"
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).fetchone()
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collision = store.connection.execute(
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"SELECT COUNT(*) AS pairs, COALESCE(SUM(plays), 0) AS plays FROM scrobble_key k"
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" WHERE k.track_id IS NULL"
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" AND EXISTS (SELECT 1 FROM lidarr_artist a WHERE a.norm_name = k.norm_artist)"
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" AND EXISTS (SELECT 1 FROM lidarr_track t WHERE t.norm_title = k.norm_track)"
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).fetchone()
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logger.info(
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" of those, the title exists under another artist: %d pairs, %d plays"
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" -- attribution disagreements, and the genuine misses",
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" the library's title credits the scrobbled artist: %d pairs, %d plays"
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" -- remixes and guest spots, and the genuine misses",
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attribution["pairs"],
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attribution["plays"],
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)
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logger.info(
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" same title under an unrelated artist: %d pairs, %d plays"
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" -- title collisions, not misses; matching these would be a mistake",
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collision["pairs"] - attribution["pairs"],
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collision["plays"] - attribution["plays"],
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)
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logger.info(
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" the rest, %d pairs, %d plays: you own the artist but not the track",
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suspect["pairs"] - attribution["pairs"],
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suspect["plays"] - attribution["plays"],
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suspect["pairs"] - collision["pairs"],
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suspect["plays"] - collision["plays"],
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)
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mismatched = store.connection.execute(
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"SELECT k.artist, k.track, k.plays,"
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" (SELECT a.name FROM lidarr_track t"
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" JOIN lidarr_artist a ON a.id = t.artist_id"
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" WHERE t.norm_title = k.norm_track LIMIT 1) AS filed_under"
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" (SELECT t.title FROM lidarr_track t"
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" WHERE t.norm_title = k.norm_track"
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" AND instr(lower(t.title), lower(k.artist)) > 0 LIMIT 1) AS library_title"
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" FROM scrobble_key k"
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" WHERE k.track_id IS NULL"
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" AND EXISTS (SELECT 1 FROM lidarr_artist a WHERE a.norm_name = k.norm_artist)"
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" AND EXISTS (SELECT 1 FROM lidarr_track t WHERE t.norm_title = k.norm_track)"
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" AND EXISTS (SELECT 1 FROM lidarr_track t"
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" WHERE t.norm_title = k.norm_track"
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" AND instr(lower(t.title), lower(k.artist)) > 0)"
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" ORDER BY k.plays DESC, k.artist LIMIT 10"
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).fetchall()
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for position, row in enumerate(mismatched, start=1):
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logger.info(
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" attribution %2d: %-45s %4d plays, filed under %s",
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" attribution %2d: %-45s %4d plays, library has %r",
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position,
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f"{row['artist']} - {row['track']}"[:45],
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row["plays"],
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row["filed_under"],
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row["library_title"],
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)
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with_files = store.scalar("SELECT COUNT(*) FROM lidarr_track WHERE has_file = 1")
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@@ -55,9 +55,23 @@ LIBRARY = [
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{
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"name": "The Prodigy",
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"albums": [
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{"title": "The Fat of the Land", "tracks": [{"title": "Breathe (Remastered)"}]}
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{
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"title": "The Fat of the Land",
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"tracks": [
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{"title": "Breathe (Remastered)"},
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# Credits its remixer in the title, which is the only signal
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# separating a real attribution miss from a title collision.
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{"title": "Voodoo People (Pendulum Remix)"},
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],
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}
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],
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},
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# Held by the library in its own right, which is what puts its scrobbles
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# inside the "artist the library holds" filter at all.
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{
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"name": "Pendulum",
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"albums": [{"title": "Immersion", "tracks": [{"title": "Watercolour"}]}],
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},
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]
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@@ -393,7 +407,7 @@ def test_keys_carry_the_play_count_and_the_span(tmp_path):
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def test_re_indexing_drops_what_lidarr_no_longer_has(tmp_path):
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"""The index is Lidarr's mirror, not an accumulation of everything ever seen."""
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store = indexed(tmp_path, [scrobble_of("AC/DC", "Hells Bells")])
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assert store.scalar("SELECT COUNT(*) FROM lidarr_artist") == 3
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assert store.scalar("SELECT COUNT(*) FROM lidarr_artist") == 4
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music_curator.index_library(
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music_curator.Lidarr("http://lidarr", "key", transport=FakeLidarr(LIBRARY[:1])), store
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@@ -512,7 +526,7 @@ def test_albums_come_from_the_unfiltered_endpoint(tmp_path):
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album_calls = [query for path, query in api.calls if path == "album"]
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assert album_calls == [{}]
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assert store.scalar("SELECT COUNT(*) FROM lidarr_album") == 3
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assert store.scalar("SELECT COUNT(*) FROM lidarr_album") == 4
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def test_a_bad_album_falls_back_to_asking_per_artist(tmp_path):
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@@ -526,7 +540,7 @@ def test_a_bad_album_falls_back_to_asking_per_artist(tmp_path):
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assert store.scalar("SELECT COUNT(*) FROM lidarr_album WHERE artist_id = 2") == 0
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# The other two artists keep their albums.
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assert store.scalar("SELECT COUNT(*) FROM lidarr_album") == 2
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assert store.scalar("SELECT COUNT(*) FROM lidarr_album") == 3
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assert store.get_state("index_albums_skipped") == "1"
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@@ -549,10 +563,10 @@ def test_an_artist_lidarr_cannot_serve_does_not_kill_the_index(tmp_path):
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music_curator.index_library(music_curator.Lidarr("http://lidarr", "key", transport=api), store)
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assert store.scalar("SELECT COUNT(*) FROM lidarr_artist") == 3
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assert store.scalar("SELECT COUNT(*) FROM lidarr_artist") == 4
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assert store.scalar("SELECT COUNT(*) FROM lidarr_track WHERE artist_id = 2") == 0
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# The other two artists are indexed in full.
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assert store.scalar("SELECT COUNT(*) FROM lidarr_track") == 3
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assert store.scalar("SELECT COUNT(*) FROM lidarr_track") == 5
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assert store.get_state("index_skipped") == "1"
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@@ -763,3 +777,51 @@ def test_the_report_survives_the_attribution_split(tmp_path):
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store = indexed(tmp_path, [scrobble_of("Yellowcard", "Hells Bells")])
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music_curator.report(store, NOW)
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def attribution_pairs(store):
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"""Unmatched pairs where the library's own title credits the scrobbled artist."""
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return [
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row["artist"]
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for row in store.connection.execute(
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"SELECT k.artist FROM scrobble_key k WHERE k.track_id IS NULL"
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" AND EXISTS (SELECT 1 FROM lidarr_artist a WHERE a.norm_name = k.norm_artist)"
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" AND EXISTS (SELECT 1 FROM lidarr_track t"
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" WHERE t.norm_title = k.norm_track"
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" AND instr(lower(t.title), lower(k.artist)) > 0)"
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)
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]
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def test_a_shared_title_is_not_an_attribution_miss(tmp_path):
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"""Across fifty thousand tracks, titles collide constantly: "Everyday" is
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Rusko and also Def Leppard. Matching those would be worse than missing."""
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store = indexed(tmp_path, [scrobble_of("Yellowcard", "Hells Bells")])
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# The library holds "Hells Bells", by AC/DC, and its title says nothing
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# about Yellowcard. A collision, not a miss.
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assert verdict(store, "Yellowcard", "Hells Bells") == ("none", None)
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assert attribution_pairs(store) == []
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def test_a_remix_credited_in_the_library_title_is_an_attribution_miss(tmp_path):
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"""The library has "Voodoo People (Pendulum Remix)" under The Prodigy; the
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scrobble credits Pendulum. Same song, different filing."""
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store = indexed(tmp_path, [scrobble_of("Pendulum", "Voodoo People")])
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assert attribution_pairs(store) == ["Pendulum"]
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def test_the_title_index_is_used_for_the_report_lookup(tmp_path):
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"""Without it the report scans every track for every unmatched key: forty-
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seven seconds on a real library."""
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store = indexed(tmp_path, [])
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plan = "\n".join(
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row[-1]
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for row in store.connection.execute(
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"EXPLAIN QUERY PLAN SELECT 1 FROM scrobble_key k WHERE k.track_id IS NULL"
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" AND EXISTS (SELECT 1 FROM lidarr_track t WHERE t.norm_title = k.norm_track)"
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)
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)
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assert "lidarr_track_title" in plan, plan
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