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acd042ad8d | ||
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54e19992e4 | ||
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2886c02a2e | ||
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56a06a6cd5 | ||
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a3d0689c0a | ||
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7588fee302 |
@@ -29,7 +29,14 @@ Two tiers, and no third.
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| `name` | Normalised artist and title | Everything the first tier could not carry |
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| `name` | Normalised artist and title | Everything the first tier could not carry |
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| `none` | — | Recorded as a miss, never guessed at |
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| `none` | — | Recorded as a miss, never guessed at |
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The normalisation is the load-bearing part, because the two sides disagree in
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The name tier does almost all of the work. A recording MBID is exact when it
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lands, but MusicBrainz holds a separate recording per release, and Last.fm and
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Lidarr rarely pick the same one: on a real library, two thirds of scrobbles
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carry a recording id and barely a twentieth of them join on it. The report
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counts how many carried an id and matched on name anyway, which is the measure
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of that disagreement.
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So the normalisation is the load-bearing part, because the two sides disagree in
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predictable ways. It folds case and accents, drops guest credits (`Yellowcard
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predictable ways. It folds case and accents, drops guest credits (`Yellowcard
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feat. Tay Jardine` against a tag of `Yellowcard`), strips a trailing
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feat. Tay Jardine` against a tag of `Yellowcard`), strips a trailing
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version suffix (`(Remastered 2011)`, `- Live`), expands `&`, and removes a
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version suffix (`(Remastered 2011)`, `- Live`), expands `&`, and removes a
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@@ -102,10 +109,18 @@ matcher. The line to watch is:
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unmatched by an artist the library holds: N pairs, M plays
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unmatched by an artist the library holds: N pairs, M plays
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```
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```
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That is a track that was played, sitting beside a file it should have matched.
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That is a track that was played by an artist the library holds. It is then
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Those are the matcher's real misses, and every one is a candidate for being
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split again, because owning an artist is a weak proxy for owning a track:
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wrongly called cold in stage four. The report lists the worst fifteen by play
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count so they can be eyeballed.
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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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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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## How the ingest works
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## How the ingest works
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+86
-8
@@ -187,18 +187,28 @@ VERSION_WORDS = (
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"anniversary",
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"anniversary",
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"reissue",
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"reissue",
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"instrumental",
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"instrumental",
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# Drum and bass and its neighbours mark versions their own way.
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"vip",
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"bootleg",
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"rework",
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"extended",
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)
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)
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_VERSIONS = "|".join(VERSION_WORDS)
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_VERSIONS = "|".join(VERSION_WORDS)
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BRACKETED_VERSION = re.compile(
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BRACKETED_VERSION = re.compile(
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rf"\s*[\(\[][^\)\]]*\b(?:{_VERSIONS})\b[^\)\]]*[\)\]]\s*$", re.IGNORECASE
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rf"\s*[\(\[][^\)\]]*\b(?:{_VERSIONS})\b[^\)\]]*[\)\]]\s*$", re.IGNORECASE
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)
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)
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TRAILING_VERSION = re.compile(rf"\s+-\s+[^-]*\b(?:{_VERSIONS})\b.*$", re.IGNORECASE)
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# The suffix is matched lazily rather than as a run of non-hyphens, because the
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# thing being stripped frequently contains hyphens of its own -- "Gold Dust -
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# Shy FX Re-Edit", "Back To Your Roots - Friction & K-Tee Remix".
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TRAILING_VERSION = re.compile(rf"\s+-\s+.*?\b(?:{_VERSIONS})\b.*$", re.IGNORECASE)
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# Last.fm routinely carries the guest credit in the artist field where the file
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# Last.fm routinely carries the guest credit where the file tag holds only the
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# tag holds only the primary artist -- "Yellowcard feat. Tay Jardine" against a
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# primary artist -- "Yellowcard feat. Tay Jardine" against a tag of
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# tag of "Yellowcard". `with` is deliberately absent: it appears in far too many
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# "Yellowcard", or "Self vs Self (feat. In Flames)" against "Self vs Self". The
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# real titles to cut on sight.
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# opening bracket has to be allowed for: requiring whitespace immediately before
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GUEST_CREDIT = re.compile(r"\s+(?:feat|ft|featuring)\b.*$", re.IGNORECASE)
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# the word misses every bracketed credit, which is most of them. `with` is
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# deliberately absent -- it appears in far too many real titles to cut on sight.
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GUEST_CREDIT = re.compile(r"[\s(\[]+(?:feat|ft|featuring)\b.*$", re.IGNORECASE)
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LEADING_ARTICLE = re.compile(r"^the\s+")
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LEADING_ARTICLE = re.compile(r"^the\s+")
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# Deleted rather than spaced, so "Don't" and "Dont" agree. Every other mark
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# Deleted rather than spaced, so "Don't" and "Dont" agree. Every other mark
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@@ -1078,18 +1088,86 @@ def coverage_report(store):
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row["plays"],
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row["plays"],
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)
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)
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# Why the mbid tier performs the way it does. A recording id on both sides
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# that still fails to join means the two disagree about which recording the
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# song is -- MusicBrainz holds a separate recording per release, and Last.fm
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# and Lidarr need not have picked the same one. That is not a fault to fix
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# in the matcher; it is the reason the name tier has to carry the load.
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library_with_mbid = store.scalar(
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"SELECT COUNT(*) FROM lidarr_track WHERE recording_mbid IS NOT NULL"
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)
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logger.info(
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"library tracks carrying a recording MBID: %d of %d (%.1f%%)",
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library_with_mbid,
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tracks,
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100 * library_with_mbid / tracks,
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)
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disagreed = store.connection.execute(
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"SELECT COUNT(*) AS pairs, COALESCE(SUM(plays), 0) AS plays FROM scrobble_key"
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" WHERE track_mbid IS NOT NULL AND method = 'name'"
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).fetchone()
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logger.info(
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"carried a recording MBID, joined on name instead: %d pairs, %d plays"
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" -- both sides know the song, they disagree on which recording it is",
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disagreed["pairs"],
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disagreed["plays"],
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)
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suspect = store.connection.execute(
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suspect = 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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"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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" 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_artist a WHERE a.norm_name = k.norm_artist)"
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).fetchone()
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).fetchone()
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logger.info(
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logger.info(
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"unmatched by an artist the library holds: %d pairs, %d plays -- these are the"
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"unmatched by an artist the library holds: %d pairs, %d plays",
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" matcher's misses, not music you do not own",
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suspect["pairs"],
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suspect["pairs"],
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suspect["plays"],
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suspect["plays"],
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)
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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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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 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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attribution["pairs"],
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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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)
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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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" 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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" 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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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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)
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with_files = store.scalar("SELECT COUNT(*) FROM lidarr_track WHERE has_file = 1")
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with_files = store.scalar("SELECT COUNT(*) FROM lidarr_track WHERE has_file = 1")
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played = store.scalar(
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played = store.scalar(
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"SELECT COUNT(DISTINCT k.track_id) FROM scrobble_key k"
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"SELECT COUNT(DISTINCT k.track_id) FROM scrobble_key k"
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+1
-1
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
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[project]
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[project]
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name = "music-curator"
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name = "music-curator"
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version = "0.2.3"
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version = "0.3.0"
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description = "Ingest a Last.fm listening history and curate a music library from it"
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description = "Ingest a Last.fm listening history and curate a music library from it"
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readme = "README.md"
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readme = "README.md"
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requires-python = ">=3.11"
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requires-python = ">=3.11"
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@@ -687,3 +687,79 @@ def test_lidarr_talks_to_a_real_server_through_keep_alive(http_server):
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client.transport.close()
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client.transport.close()
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assert server.connections == 1
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assert server.connections == 1
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# Titles taken verbatim from a real coverage report's unmatched list. Each one
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# was a genuine miss before the normaliser handled it.
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@pytest.mark.parametrize(
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("scrobbled", "tagged"),
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[
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("Self vs Self (feat. In Flames)", "Self vs Self"),
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("Grime Battle of Hastings (feat. The Town Crier)", "Grime Battle of Hastings"),
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("Gold Dust - Shy FX Re-Edit", "Gold Dust"),
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("Back To Your Roots - Friction & K-Tee Remix", "Back To Your Roots"),
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("Constellations - Forza Horizon 3 VIP", "Constellations"),
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("Everyday (Netsky Remix)", "Everyday"),
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("Voodoo People [Pendulum Remix] [Live At Brixton Academy]", "Voodoo People"),
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],
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)
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def test_real_unmatched_titles_now_agree_with_their_tags(scrobbled, tagged):
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assert music_curator.normalise(scrobbled) == music_curator.normalise(tagged)
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@pytest.mark.parametrize(
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"title",
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[
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"Dancing with Myself",
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"(Don't Fear) The Reaper",
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"Live and Let Die",
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"Radio Ga Ga",
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"Editors",
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"Mixed Emotions",
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"Vipassana",
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],
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)
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def test_the_version_words_do_not_eat_ordinary_titles(title):
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"""Every one of these contains a version word and must survive intact."""
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assert music_curator.normalise(title) == music_curator.normalise(title.lower())
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assert len(music_curator.normalise(title).split()) == len(title.split())
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def test_a_bracketed_guest_credit_matches_the_bare_tag(tmp_path):
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"""Whitespace-then-feat misses the bracketed form, which is most of them."""
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store = indexed(tmp_path, [scrobble_of("Yellowcard", "Here I Am Alive (feat. Someone)")])
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method, track_id = verdict(store, "Yellowcard", "Here I Am Alive (feat. Someone)")
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assert method == "name"
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assert track_id is not None
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def test_misses_are_split_by_whether_the_library_holds_the_title(tmp_path):
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"""Owning an artist is a weak proxy for owning a track. Counting both as
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matcher failures overstates the problem and would over-block the cull."""
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store = indexed(
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tmp_path,
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[
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# The library holds "Hells Bells", but under AC/DC, not Yellowcard:
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# an attribution disagreement, and a real miss.
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scrobble_of("Yellowcard", "Hells Bells"),
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# Yellowcard is in the library; this track is not, under any artist.
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scrobble_of("Yellowcard", "A Single She Never Bought"),
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],
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)
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def count(extra):
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return store.connection.execute(
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"SELECT COUNT(*) 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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f" {extra}"
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).fetchone()[0]
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assert count("") == 2
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assert count("AND EXISTS (SELECT 1 FROM lidarr_track t WHERE t.norm_title = k.norm_track)") == 1
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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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Reference in New Issue
Block a user