Fix scanner to use AudioTrack model with correct column names

Change Track → AudioTrack
Change file_path → filepath
Remove non-existent columns (spectral_rolloff, spectral_bandwidth)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

backend/src/cli/scanner.py

@@ -15,7 +15,8 @@ sys.path.insert(0, str(Path(__file__).parent.parent.parent))
 
 from src.core.audio_processor import extract_all_features
 from src.core.essentia_classifier import EssentiaClassifier
-from src.models.database import SessionLocal, Track
+from src.models.database import SessionLocal
+from src.models.schema import AudioTrack
 from src.utils.logging import get_logger
 
 logger = get_logger(__name__)
@@ -67,7 +68,7 @@ def analyze_and_store(file_path: Path, classifier: EssentiaClassifier, db) -> bo
         logger.info(f"Processing: {file_path}")
 
         # Check if already in database
-        existing = db.query(Track).filter(Track.file_path == str(file_path)).first()
+        existing = db.query(AudioTrack).filter(AudioTrack.filepath == str(file_path)).first()
         if existing:
             logger.info(f"Already in database, skipping: {file_path}")
             return True
@@ -85,8 +86,8 @@ def analyze_and_store(file_path: Path, classifier: EssentiaClassifier, db) -> bo
         instruments = classifier.predict_instruments(str(file_path))
 
         # Create track record
-        track = Track(
-            file_path=str(file_path),
+        track = AudioTrack(
+            filepath=str(file_path),
             filename=file_path.name,
             duration_seconds=features['duration_seconds'],
             tempo_bpm=features['tempo_bpm'],
@@ -98,8 +99,6 @@ def analyze_and_store(file_path: Path, classifier: EssentiaClassifier, db) -> bo
             loudness_lufs=features['loudness_lufs'],
             spectral_centroid=features['spectral_centroid'],
             zero_crossing_rate=features['zero_crossing_rate'],
-            spectral_rolloff=features['spectral_rolloff'],
-            spectral_bandwidth=features['spectral_bandwidth'],
             genre_primary=genre_result['primary'],
             genre_secondary=genre_result['secondary'],
             genre_confidence=genre_result['confidence'],