Files
vrobbler/vrobbler/apps/music/management/commands/lookup_similar_artists.py

124 lines
4.1 KiB
Python

import logging
import time
from django.core.management.base import BaseCommand
from music.listenbrainz import get_similar_artists
logger = logging.getLogger(__name__)
class Command(BaseCommand):
help = "Fetch similar artists from ListenBrainz for artists with a musicbrainz_id"
def add_arguments(self, parser):
parser.add_argument(
"--commit",
action="store_true",
help="Commit changes to the database",
)
parser.add_argument(
"--batch-size",
type=int,
default=100,
help="Number of artists to process per batch (default: 100)",
)
parser.add_argument(
"--artist-id",
type=str,
default="",
help="Only process the artist with this musicbrainz_id",
)
parser.add_argument(
"--overwrite",
action="store_true",
help="Re-fetch similar artists even if already populated",
)
def handle(self, *args, **options):
from music.models import Artist
commit = options["commit"]
batch_size = options["batch_size"]
artist_id = options["artist_id"]
overwrite = options["overwrite"]
if not commit:
self.stdout.write(
"Dry run — no changes will be saved. Use --commit to apply."
)
qs = Artist.objects.exclude(musicbrainz_id__isnull=True).exclude(
musicbrainz_id=""
)
if artist_id:
qs = qs.filter(musicbrainz_id=artist_id)
self.stdout.write(f"Filtering to artist with musicbrainz_id: {artist_id}")
elif not overwrite:
qs = qs.filter(similar_artists__isnull=True)
else:
qs = qs.all()
total = qs.count()
if total == 0:
self.stdout.write("No artists to process.")
return
self.stdout.write(
f"Found {total} artists with musicbrainz_id"
+ (" (overwrite mode)" if overwrite else "")
+ (" (--artist-id filter)" if artist_id else "")
)
if not commit:
self.stdout.write(
"\nSkipping API lookups in dry-run mode. Use --commit to run against ListenBrainz."
)
return
found_count = 0
empty_count = 0
error_count = 0
artist_ids = list(qs.values_list("pk", flat=True))
i = 0
for batch_num, offset in enumerate(
range(0, len(artist_ids), batch_size)
):
batch_pks = artist_ids[offset : offset + batch_size]
for artist in Artist.objects.filter(pk__in=batch_pks).iterator():
i += 1
self.stdout.write(
f" [{i}/{total}] Fetching similar artists for {artist}...",
ending="",
)
try:
similar = get_similar_artists(artist.musicbrainz_id)
if similar:
artist.similar_artists = similar
artist.save(update_fields=["similar_artists"])
self.stdout.write(f" {len(similar)} similar artists found")
found_count += 1
else:
artist.similar_artists = []
artist.save(update_fields=["similar_artists"])
self.stdout.write(" none found")
empty_count += 1
except Exception as e:
self.stdout.write(f" error: {e}")
error_count += 1
self.stdout.write(
f" Batch {batch_num + 1}: {offset + len(batch_pks)}/{total} processed, "
f"found: {found_count}, empty: {empty_count}, errors: {error_count}"
)
time.sleep(1)
self.stdout.write(
f"\nResults (commit={commit}):\n"
f" Similar artists found: {found_count}\n"
f" No similar artists: {empty_count}\n"
f" Errors: {error_count}"
)