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feat(career): hours-per-genre odometer — honest wall-clock play time (#942)
Career v2, WS2. Nothing measured play time before (the achievements plugin's final-position shortcut double-counts loops and mis-reads seeks). Now: - stats-recorder.js accrues WALL-CLOCK seconds across song:play/resume ↔ pause/stop/ended spans (single spans clamp at 2h against suspend inflation) and piggybacks them as `seconds` on the POSTs it already sends; failed POSTs restore the accumulator; a session reset flushes first so time can't re-attribute to the next song/arrangement. - POST /api/stats accepts optional `seconds` (finite, 0 < s ≤ 6h) on the scored and position branches, plus a new seconds-only branch for unscored plays that ran to the natural end — banks time WITHOUT touching the resume position (song:ended must not overwrite Continue) and still counts as playing today for the streak. - song_stats gains additive idempotent `seconds_total`; record_session/ touch_position accrue, new add_play_seconds() for the seconds-only path; the legacy-encoding stats merge sums seconds across duplicates. - Passports surface it: "14.2 h in Blues" under the badge stamp and on the shelf cover sub-line — a true fact that only grows, never a target or a meter (Stage 5 post-cap, per the career design). Tests: seconds accrual/validation/seconds-only branch (stats API), per-instrument-and-genre summing (career), fmtHours formatting (vm). Full suites: pytest 2480, JS 1165. Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
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co-authored by
Claude Fable 5
parent
d26347981c
commit
0fc6a4beed
@@ -26,7 +26,8 @@ class FakeMetaDb:
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self.conn.execute(
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"""CREATE TABLE song_stats (
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filename TEXT, arrangement TEXT, best_accuracy REAL,
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last_played_at TEXT
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last_played_at TEXT,
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seconds_total REAL NOT NULL DEFAULT 0
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)"""
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)
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self.conn.execute(
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@@ -37,9 +38,10 @@ class FakeMetaDb:
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)
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def add(self, filename, arrangement, best_accuracy, in_library=True,
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genre="", arrangements=None, last_played_at=None):
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self.conn.execute("INSERT INTO song_stats VALUES (?, ?, ?, ?)",
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(filename, arrangement, best_accuracy, last_played_at))
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genre="", arrangements=None, last_played_at=None, seconds_total=0):
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self.conn.execute("INSERT INTO song_stats VALUES (?, ?, ?, ?, ?)",
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(filename, arrangement, best_accuracy, last_played_at,
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seconds_total))
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if in_library:
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self.conn.execute(
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"INSERT INTO songs SELECT ?, ?, ?, ?, ? WHERE NOT EXISTS "
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@@ -143,3 +143,15 @@ def test_drill_state_validation(client):
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huge = {"byNode": {"pad": "x" * (300 * 1024)}}
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assert client.post("/api/plugins/career/drill-state",
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json=huge).status_code == 413
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def test_hours_odometer_sums_seconds_per_instrument_and_genre(client, meta_db):
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both = [{"type": "lead", "name": "Lead"}, {"type": "bass", "name": "Bass"}]
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# Two lead arrangements' time sums; the bass row stays on the bass passport.
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meta_db.add("a.feedpak", 0, 0.8, genre="Blues", arrangements=both, seconds_total=600)
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meta_db.add("b.feedpak", 0, 0.8, genre="Blues", arrangements=both, seconds_total=300)
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meta_db.add("b.feedpak", 1, 0.9, genre="Blues", arrangements=both, seconds_total=1200)
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_open(client, "guitar")
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_open(client, "bass")
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assert _passport(client, "guitar")["seconds_total"] == 900
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assert _passport(client, "bass")["seconds_total"] == 1200
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