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speed up discovery node

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This commit is contained in:
Broque Thomas 2026-03-05 22:10:28 -08:00
parent db03735183
commit 3af8c941b0
1 changed files with 33 additions and 17 deletions
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50
web_server.py
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@ -20106,25 +20106,41 @@ def _run_playlist_discovery_worker(playlists, automation_id=None):
_update_automation_progress(automation_id, phase=f'Discovering: "{pl_name}"',
log_line=f'Playlist "{pl_name}" — {len(tracks)} tracks ({discovery_source.upper()})', log_type='info')
for i, track in enumerate(tracks):
total_tracks += 1
track_id = track['id']
track_name = track.get('track_name', '')
artist_name = track.get('artist_name', '')
duration_ms = track.get('duration_ms', 0)
# Check if already discovered
# Fast pre-scan: separate already-discovered from undiscovered
undiscovered_tracks = []
pl_skipped = 0
for track in tracks:
existing_extra = {}
if track.get('extra_data'):
try:
existing_extra = json.loads(track['extra_data']) if isinstance(track['extra_data'], str) else track['extra_data']
except (json.JSONDecodeError, TypeError):
pass
if existing_extra.get('discovered'):
pl_skipped += 1
total_skipped += 1
_update_automation_progress(automation_id, log_line=f'Already discovered: {track_name}', log_type='skip')
continue
else:
undiscovered_tracks.append(track)
if pl_skipped > 0:
_update_automation_progress(automation_id,
log_line=f'{pl_skipped} tracks already discovered — skipped', log_type='skip')
if not undiscovered_tracks:
_update_automation_progress(automation_id,
progress=((total_skipped + total_discovered + total_failed) / max(1, grand_total)) * 100,
log_line=f'All {len(tracks)} tracks already discovered', log_type='skip')
continue
_update_automation_progress(automation_id,
log_line=f'{len(undiscovered_tracks)} tracks to discover', log_type='info')
for i, track in enumerate(undiscovered_tracks):
total_tracks += 1
track_id = track['id']
track_name = track.get('track_name', '')
artist_name = track.get('artist_name', '')
duration_ms = track.get('duration_ms', 0)
# Step 1: Check discovery cache
cache_key = _get_discovery_cache_key(track_name, artist_name)
@ -20139,9 +20155,9 @@ def _run_playlist_discovery_worker(playlists, automation_id=None):
}
db.update_mirrored_track_extra_data(track_id, extra_data)
total_discovered += 1
print(f"⚡ CACHE [{i+1}/{len(tracks)}]: {track_name} → {cached_match.get('name', '?')}")
print(f"⚡ CACHE [{i+1}/{len(undiscovered_tracks)}]: {track_name} → {cached_match.get('name', '?')}")
_update_automation_progress(automation_id,
progress=(total_tracks / max(1, grand_total)) * 100,
progress=((total_skipped + total_discovered + total_failed) / max(1, grand_total)) * 100,
current_item=track_name,
log_line=f'{track_name} → {cached_match.get("name", "?")} (cache)', log_type='success')
continue
@ -20235,9 +20251,9 @@ def _run_playlist_discovery_worker(playlists, automation_id=None):
except Exception:
pass
print(f"✅ [{i+1}/{len(tracks)}] {track_name} → {matched_data['name']} ({best_confidence:.2f})")
print(f"✅ [{i+1}/{len(undiscovered_tracks)}] {track_name} → {matched_data['name']} ({best_confidence:.2f})")
_update_automation_progress(automation_id,
progress=(total_tracks / max(1, grand_total)) * 100,
progress=((total_skipped + total_discovered + total_failed) / max(1, grand_total)) * 100,
processed=total_discovered + total_failed,
current_item=f'{track_name} - {artist_name}',
log_line=f'{track_name} → {matched_data["name"]} ({best_confidence:.2f})', log_type='success')
@ -20249,9 +20265,9 @@ def _run_playlist_discovery_worker(playlists, automation_id=None):
}
db.update_mirrored_track_extra_data(track_id, extra_data)
total_failed += 1
print(f"❌ [{i+1}/{len(tracks)}] No match: {track_name} by {artist_name}")
print(f"❌ [{i+1}/{len(undiscovered_tracks)}] No match: {track_name} by {artist_name}")
_update_automation_progress(automation_id,
progress=(total_tracks / max(1, grand_total)) * 100,
progress=((total_skipped + total_discovered + total_failed) / max(1, grand_total)) * 100,
processed=total_discovered + total_failed,
current_item=f'{track_name} - {artist_name}',
log_line=f'{track_name} by {artist_name} → no match', log_type='error')