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727 lines
32 KiB
727 lines
32 KiB
"""
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Universal Metadata Cache — caches all Spotify and iTunes API responses.
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Stores full JSON responses alongside structured queryable fields for browsing.
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Transparent to callers: check cache before API call, store after success.
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"""
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import json
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import logging
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import threading
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from datetime import datetime
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from typing import Optional, Dict, List, Tuple
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logger = logging.getLogger(__name__)
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# Singleton
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_cache_instance = None
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_cache_lock = threading.Lock()
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def get_metadata_cache():
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"""Get or create the singleton MetadataCache instance."""
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global _cache_instance
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if _cache_instance is None:
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with _cache_lock:
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if _cache_instance is None:
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_cache_instance = MetadataCache()
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return _cache_instance
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class MetadataCache:
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"""Caches Spotify and iTunes API responses with structured fields + raw JSON."""
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def __init__(self):
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# Tables are created by MusicDatabase migration — we just use get_database()
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pass
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def _get_db(self):
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from database.music_database import get_database
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return get_database()
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# ─── Entity Methods ───────────────────────────────────────────────
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def get_entity(self, source: str, entity_type: str, entity_id: str) -> Optional[dict]:
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"""Look up a cached entity. Returns parsed raw_json dict on hit, None on miss."""
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try:
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db = self._get_db()
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conn = db._get_connection()
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try:
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cursor = conn.cursor()
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cursor.execute("""
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SELECT id, raw_json, updated_at, ttl_days FROM metadata_cache_entities
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WHERE source = ? AND entity_type = ? AND entity_id = ?
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""", (source, entity_type, entity_id))
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row = cursor.fetchone()
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if row:
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# Inline TTL check — don't serve stale data
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try:
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updated = datetime.fromisoformat(row['updated_at'])
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age_days = (datetime.now() - updated).days
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if age_days > (row['ttl_days'] or 30):
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cursor.execute("DELETE FROM metadata_cache_entities WHERE id = ?", (row['id'],))
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conn.commit()
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return None
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except (ValueError, TypeError):
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pass
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# Touch: update access stats
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cursor.execute("""
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UPDATE metadata_cache_entities
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SET last_accessed_at = CURRENT_TIMESTAMP, access_count = access_count + 1
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WHERE id = ?
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""", (row['id'],))
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conn.commit()
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return json.loads(row['raw_json'])
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return None
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finally:
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conn.close()
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except Exception as e:
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logger.debug(f"Cache lookup error ({source}/{entity_type}/{entity_id}): {e}")
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return None
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def store_entity(self, source: str, entity_type: str, entity_id: str, raw_data: dict) -> None:
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"""Store an entity in the cache. Extracts structured fields from raw_data."""
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if not entity_id or not raw_data:
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return
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try:
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fields = self._extract_fields(source, entity_type, raw_data)
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raw_json = json.dumps(raw_data, default=str)
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db = self._get_db()
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conn = db._get_connection()
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try:
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cursor = conn.cursor()
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cursor.execute("""
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INSERT OR REPLACE INTO metadata_cache_entities
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(source, entity_type, entity_id, name, image_url, external_urls,
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genres, popularity, followers,
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artist_name, artist_id, release_date, total_tracks, album_type, label,
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album_name, album_id, duration_ms, track_number, disc_number, explicit, isrc, preview_url,
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raw_json, updated_at, last_accessed_at, access_count)
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VALUES (?, ?, ?, ?, ?, ?,
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?, ?, ?,
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?, ?, ?, ?, ?, ?,
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?, ?, ?, ?, ?, ?, ?, ?,
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?, CURRENT_TIMESTAMP, CURRENT_TIMESTAMP,
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COALESCE((SELECT access_count FROM metadata_cache_entities
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WHERE source = ? AND entity_type = ? AND entity_id = ?), 0) + 1)
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""", (
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source, entity_type, entity_id,
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fields.get('name', ''),
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fields.get('image_url'),
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fields.get('external_urls'),
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fields.get('genres'),
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fields.get('popularity'),
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fields.get('followers'),
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fields.get('artist_name'),
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fields.get('artist_id'),
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fields.get('release_date'),
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fields.get('total_tracks'),
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fields.get('album_type'),
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fields.get('label'),
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fields.get('album_name'),
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fields.get('album_id'),
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fields.get('duration_ms'),
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fields.get('track_number'),
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fields.get('disc_number'),
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fields.get('explicit'),
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fields.get('isrc'),
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fields.get('preview_url'),
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raw_json,
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source, entity_type, entity_id,
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))
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conn.commit()
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finally:
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conn.close()
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except Exception as e:
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logger.debug(f"Cache store error ({source}/{entity_type}/{entity_id}): {e}")
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def store_entities_bulk(self, source: str, entity_type: str, items: List[Tuple[str, dict]],
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skip_if_exists: bool = False) -> None:
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"""Store multiple entities at once. items = [(entity_id, raw_data), ...]
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Args:
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skip_if_exists: If True, don't overwrite existing entries. Use this for
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opportunistic caching of simplified data (e.g. from list endpoints)
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to avoid replacing richer data from detail endpoints.
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"""
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if not items:
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return
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try:
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db = self._get_db()
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conn = db._get_connection()
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try:
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cursor = conn.cursor()
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for entity_id, raw_data in items:
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if not entity_id or not raw_data:
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continue
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if skip_if_exists:
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cursor.execute("""
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SELECT 1 FROM metadata_cache_entities
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WHERE source = ? AND entity_type = ? AND entity_id = ?
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""", (source, entity_type, entity_id))
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if cursor.fetchone():
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continue
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fields = self._extract_fields(source, entity_type, raw_data)
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raw_json = json.dumps(raw_data, default=str)
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cursor.execute("""
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INSERT OR REPLACE INTO metadata_cache_entities
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(source, entity_type, entity_id, name, image_url, external_urls,
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genres, popularity, followers,
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artist_name, artist_id, release_date, total_tracks, album_type, label,
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album_name, album_id, duration_ms, track_number, disc_number, explicit, isrc, preview_url,
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raw_json, updated_at, last_accessed_at, access_count)
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VALUES (?, ?, ?, ?, ?, ?,
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?, ?, ?,
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?, ?, ?, ?, ?, ?,
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?, ?, ?, ?, ?, ?, ?, ?,
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?, CURRENT_TIMESTAMP, CURRENT_TIMESTAMP,
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COALESCE((SELECT access_count FROM metadata_cache_entities
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WHERE source = ? AND entity_type = ? AND entity_id = ?), 0) + 1)
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""", (
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source, entity_type, entity_id,
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fields.get('name', ''),
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fields.get('image_url'),
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fields.get('external_urls'),
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fields.get('genres'),
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fields.get('popularity'),
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fields.get('followers'),
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fields.get('artist_name'),
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fields.get('artist_id'),
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fields.get('release_date'),
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fields.get('total_tracks'),
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fields.get('album_type'),
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fields.get('label'),
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fields.get('album_name'),
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fields.get('album_id'),
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fields.get('duration_ms'),
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fields.get('track_number'),
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fields.get('disc_number'),
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fields.get('explicit'),
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fields.get('isrc'),
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fields.get('preview_url'),
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raw_json,
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source, entity_type, entity_id,
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))
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conn.commit()
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finally:
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conn.close()
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except Exception as e:
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logger.debug(f"Cache bulk store error ({source}/{entity_type}): {e}")
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def get_entities_batch(self, source: str, entity_type: str,
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entity_ids: List[str]) -> Tuple[Dict[str, dict], List[str]]:
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"""Batch cache lookup. Returns (found_dict, missing_ids)."""
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found = {}
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missing = []
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if not entity_ids:
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return found, missing
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try:
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db = self._get_db()
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conn = db._get_connection()
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try:
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cursor = conn.cursor()
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# Batch query in chunks of 500 to avoid SQLite variable limit
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for i in range(0, len(entity_ids), 500):
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chunk = entity_ids[i:i + 500]
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placeholders = ','.join('?' * len(chunk))
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cursor.execute(f"""
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SELECT entity_id, raw_json FROM metadata_cache_entities
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WHERE source = ? AND entity_type = ? AND entity_id IN ({placeholders})
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""", [source, entity_type] + chunk)
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for row in cursor.fetchall():
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found[row['entity_id']] = json.loads(row['raw_json'])
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# Touch all found entries
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if found:
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found_in_chunk = [eid for eid in chunk if eid in found]
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if found_in_chunk:
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ph2 = ','.join('?' * len(found_in_chunk))
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cursor.execute(f"""
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UPDATE metadata_cache_entities
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SET last_accessed_at = CURRENT_TIMESTAMP, access_count = access_count + 1
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WHERE source = ? AND entity_type = ? AND entity_id IN ({ph2})
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""", [source, entity_type] + found_in_chunk)
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conn.commit()
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finally:
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conn.close()
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missing = [eid for eid in entity_ids if eid not in found]
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except Exception as e:
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logger.debug(f"Cache batch lookup error: {e}")
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missing = entity_ids
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return found, missing
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# ─── Search Cache Methods ─────────────────────────────────────────
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def get_search_results(self, source: str, search_type: str,
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query: str, limit: int) -> Optional[List[dict]]:
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"""Look up cached search results. Returns list of raw_json dicts or None."""
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normalized = query.strip().lower()
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if not normalized:
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return None
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try:
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db = self._get_db()
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conn = db._get_connection()
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try:
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cursor = conn.cursor()
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cursor.execute("""
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SELECT id, result_ids, created_at FROM metadata_cache_searches
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WHERE source = ? AND search_type = ? AND query_normalized = ? AND search_limit = ?
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""", (source, search_type, normalized, limit))
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row = cursor.fetchone()
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if not row:
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return None
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# Check TTL (7 days for searches)
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try:
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created = datetime.fromisoformat(row['created_at'])
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age_days = (datetime.now() - created).days
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if age_days > 7:
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# Expired — delete and return miss
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cursor.execute("DELETE FROM metadata_cache_searches WHERE id = ?", (row['id'],))
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conn.commit()
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return None
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except (ValueError, TypeError):
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pass
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# Touch search entry
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cursor.execute("""
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UPDATE metadata_cache_searches
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SET last_accessed_at = CURRENT_TIMESTAMP, access_count = access_count + 1
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WHERE id = ?
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""", (row['id'],))
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conn.commit()
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# Resolve entity IDs to full data
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result_ids = json.loads(row['result_ids'])
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if not result_ids:
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return []
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results = []
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for eid in result_ids:
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cursor.execute("""
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SELECT raw_json FROM metadata_cache_entities
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WHERE source = ? AND entity_type = ? AND entity_id = ?
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""", (source, search_type, eid))
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erow = cursor.fetchone()
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if erow:
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results.append(json.loads(erow['raw_json']))
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# Only return if we found all (or most) entries — partial results are unreliable
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if len(results) >= len(result_ids) * 0.8:
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return results
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return None
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finally:
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conn.close()
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except Exception as e:
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logger.debug(f"Search cache lookup error ({source}/{search_type}/{query}): {e}")
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return None
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def store_search_results(self, source: str, search_type: str, query: str,
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limit: int, entity_ids: List[str]) -> None:
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"""Store search result mapping. Individual entities should already be stored."""
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normalized = query.strip().lower()
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if not normalized or not entity_ids:
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return
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try:
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db = self._get_db()
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conn = db._get_connection()
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try:
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cursor = conn.cursor()
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cursor.execute("""
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INSERT OR REPLACE INTO metadata_cache_searches
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(source, search_type, query_normalized, query_original, result_ids,
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result_count, search_limit, last_accessed_at)
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VALUES (?, ?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP)
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""", (
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source, search_type, normalized, query.strip(),
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json.dumps(entity_ids), len(entity_ids), limit,
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))
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conn.commit()
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finally:
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conn.close()
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except Exception as e:
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logger.debug(f"Search cache store error ({source}/{search_type}/{query}): {e}")
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# ─── Browsing (for UI) ────────────────────────────────────────────
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def browse(self, entity_type: str, source: str = None, search: str = None,
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sort: str = 'last_accessed_at', sort_dir: str = 'desc',
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offset: int = 0, limit: int = 48) -> dict:
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"""Paginated browse of cached entities for the UI."""
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try:
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db = self._get_db()
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conn = db._get_connection()
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try:
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cursor = conn.cursor()
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where_clauses = ['entity_type = ?']
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params = [entity_type]
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# Exclude pseudo-entities like album_id_tracks and track_id_features
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where_clauses.append(r"entity_id NOT LIKE '%\_tracks' ESCAPE '\'")
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where_clauses.append(r"entity_id NOT LIKE '%\_features' ESCAPE '\'")
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if source:
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where_clauses.append('source = ?')
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params.append(source)
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if search:
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search_term = f'%{search}%'
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where_clauses.append('(name LIKE ? OR artist_name LIKE ? OR album_name LIKE ?)')
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params.extend([search_term, search_term, search_term])
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where_sql = ' AND '.join(where_clauses)
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# Count total
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cursor.execute(f"SELECT COUNT(*) as cnt FROM metadata_cache_entities WHERE {where_sql}", params)
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total = cursor.fetchone()['cnt']
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# Validate sort column
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valid_sorts = {'last_accessed_at', 'created_at', 'access_count', 'name', 'popularity', 'updated_at'}
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if sort not in valid_sorts:
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sort = 'last_accessed_at'
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direction = 'ASC' if sort_dir == 'asc' else 'DESC'
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cursor.execute(f"""
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SELECT id, source, entity_type, entity_id, name, image_url,
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genres, popularity, followers,
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artist_name, artist_id, release_date, total_tracks, album_type, label,
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album_name, album_id, duration_ms, track_number, disc_number, explicit,
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isrc, preview_url, external_urls,
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created_at, updated_at, last_accessed_at, access_count
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FROM metadata_cache_entities
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WHERE {where_sql}
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ORDER BY {sort} {direction}
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LIMIT ? OFFSET ?
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""", params + [limit, offset])
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items = []
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for row in cursor.fetchall():
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item = dict(row)
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# Parse JSON fields for the UI
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for json_field in ('genres', 'external_urls'):
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if item.get(json_field):
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try:
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item[json_field] = json.loads(item[json_field])
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except (json.JSONDecodeError, TypeError):
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pass
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items.append(item)
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return {'items': items, 'total': total, 'offset': offset, 'limit': limit}
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finally:
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conn.close()
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except Exception as e:
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logger.error(f"Cache browse error: {e}")
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return {'items': [], 'total': 0, 'offset': offset, 'limit': limit}
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def get_entity_detail(self, source: str, entity_type: str, entity_id: str) -> Optional[dict]:
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"""Get full entity detail including parsed raw_json for the detail modal."""
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try:
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db = self._get_db()
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conn = db._get_connection()
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try:
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cursor = conn.cursor()
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cursor.execute("""
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SELECT * FROM metadata_cache_entities
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WHERE source = ? AND entity_type = ? AND entity_id = ?
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""", (source, entity_type, entity_id))
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row = cursor.fetchone()
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if not row:
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return None
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|
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# Touch
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cursor.execute("""
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UPDATE metadata_cache_entities
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SET last_accessed_at = CURRENT_TIMESTAMP, access_count = access_count + 1
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WHERE id = ?
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""", (row['id'],))
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conn.commit()
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item = dict(row)
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# Parse JSON fields
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for json_field in ('genres', 'external_urls', 'raw_json'):
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if item.get(json_field):
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try:
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item[json_field] = json.loads(item[json_field])
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|
except (json.JSONDecodeError, TypeError):
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pass
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return item
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finally:
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conn.close()
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except Exception as e:
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logger.error(f"Cache detail error: {e}")
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return None
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|
|
# ─── Stats ────────────────────────────────────────────────────────
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|
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def get_stats(self) -> dict:
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"""Get cache statistics for the dashboard tool card and modal stats bar."""
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|
try:
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db = self._get_db()
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|
conn = db._get_connection()
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|
try:
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cursor = conn.cursor()
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stats = {
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'artists': {'spotify': 0, 'itunes': 0},
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'albums': {'spotify': 0, 'itunes': 0},
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'tracks': {'spotify': 0, 'itunes': 0},
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'searches': 0,
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'total_entries': 0,
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'total_hits': 0,
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'oldest': None,
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'newest': None,
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}
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# Count by type and source (exclude pseudo-entities like _tracks, _features)
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|
cursor.execute(r"""
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SELECT entity_type, source, COUNT(*) as cnt, SUM(access_count) as hits
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FROM metadata_cache_entities
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WHERE entity_id NOT LIKE '%\_tracks' ESCAPE '\'
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AND entity_id NOT LIKE '%\_features' ESCAPE '\'
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GROUP BY entity_type, source
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""")
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|
type_key_map = {'artist': 'artists', 'album': 'albums', 'track': 'tracks'}
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for row in cursor.fetchall():
|
|
et = type_key_map.get(row['entity_type'])
|
|
src = row['source']
|
|
if et and et in stats and src in stats[et]:
|
|
stats[et][src] = row['cnt']
|
|
stats['total_entries'] += row['cnt']
|
|
stats['total_hits'] += (row['hits'] or 0)
|
|
|
|
# Search count
|
|
cursor.execute("SELECT COUNT(*) as cnt FROM metadata_cache_searches")
|
|
stats['searches'] = cursor.fetchone()['cnt']
|
|
|
|
# Oldest and newest
|
|
cursor.execute("SELECT MIN(created_at) as oldest, MAX(created_at) as newest FROM metadata_cache_entities")
|
|
row = cursor.fetchone()
|
|
if row:
|
|
stats['oldest'] = row['oldest']
|
|
stats['newest'] = row['newest']
|
|
|
|
return stats
|
|
finally:
|
|
conn.close()
|
|
except Exception as e:
|
|
logger.error(f"Cache stats error: {e}")
|
|
return {
|
|
'artists': {'spotify': 0, 'itunes': 0},
|
|
'albums': {'spotify': 0, 'itunes': 0},
|
|
'tracks': {'spotify': 0, 'itunes': 0},
|
|
'searches': 0, 'total_entries': 0, 'total_hits': 0,
|
|
'oldest': None, 'newest': None,
|
|
}
|
|
|
|
# ─── Maintenance ──────────────────────────────────────────────────
|
|
|
|
def evict_expired(self) -> int:
|
|
"""Delete entries that have exceeded their TTL. Returns count of evicted entries."""
|
|
try:
|
|
db = self._get_db()
|
|
conn = db._get_connection()
|
|
try:
|
|
cursor = conn.cursor()
|
|
|
|
# Entities
|
|
cursor.execute("""
|
|
DELETE FROM metadata_cache_entities
|
|
WHERE julianday('now') - julianday(updated_at) > ttl_days
|
|
""")
|
|
entity_count = cursor.rowcount
|
|
|
|
# Searches
|
|
cursor.execute("""
|
|
DELETE FROM metadata_cache_searches
|
|
WHERE julianday('now') - julianday(created_at) > ttl_days
|
|
""")
|
|
search_count = cursor.rowcount
|
|
|
|
conn.commit()
|
|
total = entity_count + search_count
|
|
if total > 0:
|
|
logger.info(f"Evicted {total} expired cache entries ({entity_count} entities, {search_count} searches)")
|
|
return total
|
|
finally:
|
|
conn.close()
|
|
except Exception as e:
|
|
logger.error(f"Cache eviction error: {e}")
|
|
return 0
|
|
|
|
def clear(self, source: str = None, entity_type: str = None) -> int:
|
|
"""Clear cache entries. Optional filters by source and/or entity_type."""
|
|
try:
|
|
db = self._get_db()
|
|
conn = db._get_connection()
|
|
try:
|
|
cursor = conn.cursor()
|
|
|
|
# Clear entities
|
|
where_parts = []
|
|
params = []
|
|
if source:
|
|
where_parts.append('source = ?')
|
|
params.append(source)
|
|
if entity_type:
|
|
where_parts.append('entity_type = ?')
|
|
params.append(entity_type)
|
|
|
|
if where_parts:
|
|
where_sql = ' AND '.join(where_parts)
|
|
cursor.execute(f"DELETE FROM metadata_cache_entities WHERE {where_sql}", params)
|
|
else:
|
|
cursor.execute("DELETE FROM metadata_cache_entities")
|
|
entity_count = cursor.rowcount
|
|
|
|
# Clear searches (match source and entity_type → search_type)
|
|
search_where = []
|
|
search_params = []
|
|
if source:
|
|
search_where.append('source = ?')
|
|
search_params.append(source)
|
|
if entity_type:
|
|
search_where.append('search_type = ?')
|
|
search_params.append(entity_type)
|
|
|
|
if search_where:
|
|
cursor.execute(f"DELETE FROM metadata_cache_searches WHERE {' AND '.join(search_where)}", search_params)
|
|
else:
|
|
cursor.execute("DELETE FROM metadata_cache_searches")
|
|
search_count = cursor.rowcount
|
|
|
|
conn.commit()
|
|
total = entity_count + search_count
|
|
logger.info(f"Cleared {total} cache entries (source={source}, type={entity_type})")
|
|
return total
|
|
finally:
|
|
conn.close()
|
|
except Exception as e:
|
|
logger.error(f"Cache clear error: {e}")
|
|
return 0
|
|
|
|
# ─── Field Extraction ─────────────────────────────────────────────
|
|
|
|
def _extract_fields(self, source: str, entity_type: str, raw_data: dict) -> dict:
|
|
"""Extract structured queryable fields from a raw API response."""
|
|
if source == 'spotify':
|
|
return self._extract_spotify_fields(entity_type, raw_data)
|
|
elif source == 'itunes':
|
|
return self._extract_itunes_fields(entity_type, raw_data)
|
|
return {'name': str(raw_data.get('name', raw_data.get('trackName', '')))}
|
|
|
|
def _extract_spotify_fields(self, entity_type: str, data: dict) -> dict:
|
|
"""Extract fields from Spotify API response."""
|
|
fields = {}
|
|
|
|
if entity_type == 'artist':
|
|
fields['name'] = data.get('name', '')
|
|
fields['genres'] = json.dumps(data.get('genres', []))
|
|
fields['popularity'] = data.get('popularity', 0)
|
|
followers = data.get('followers')
|
|
fields['followers'] = followers.get('total', 0) if isinstance(followers, dict) else 0
|
|
images = data.get('images', [])
|
|
fields['image_url'] = images[0]['url'] if images else None
|
|
fields['external_urls'] = json.dumps(data.get('external_urls', {}))
|
|
|
|
elif entity_type == 'album':
|
|
fields['name'] = data.get('name', '')
|
|
artists = data.get('artists', [])
|
|
if artists:
|
|
fields['artist_name'] = artists[0].get('name', '')
|
|
fields['artist_id'] = artists[0].get('id', '')
|
|
fields['release_date'] = data.get('release_date', '')
|
|
fields['total_tracks'] = data.get('total_tracks', 0)
|
|
fields['album_type'] = data.get('album_type', 'album')
|
|
fields['label'] = data.get('label', '')
|
|
images = data.get('images', [])
|
|
fields['image_url'] = images[0]['url'] if images else None
|
|
fields['genres'] = json.dumps(data.get('genres', []))
|
|
fields['external_urls'] = json.dumps(data.get('external_urls', {}))
|
|
|
|
elif entity_type == 'track':
|
|
fields['name'] = data.get('name', '')
|
|
artists = data.get('artists', [])
|
|
if artists:
|
|
fields['artist_name'] = artists[0].get('name', '')
|
|
fields['artist_id'] = artists[0].get('id', '')
|
|
album = data.get('album', {})
|
|
fields['album_name'] = album.get('name', '')
|
|
fields['album_id'] = album.get('id', '')
|
|
album_images = album.get('images', [])
|
|
fields['image_url'] = album_images[0]['url'] if album_images else None
|
|
fields['duration_ms'] = data.get('duration_ms', 0)
|
|
fields['track_number'] = data.get('track_number')
|
|
fields['disc_number'] = data.get('disc_number', 1)
|
|
fields['explicit'] = 1 if data.get('explicit') else 0
|
|
fields['popularity'] = data.get('popularity', 0)
|
|
ext_ids = data.get('external_ids', {})
|
|
fields['isrc'] = ext_ids.get('isrc') if isinstance(ext_ids, dict) else None
|
|
fields['preview_url'] = data.get('preview_url')
|
|
fields['external_urls'] = json.dumps(data.get('external_urls', {}))
|
|
|
|
return fields
|
|
|
|
def _extract_itunes_fields(self, entity_type: str, data: dict) -> dict:
|
|
"""Extract fields from iTunes API response."""
|
|
fields = {}
|
|
|
|
def _upscale_artwork(url):
|
|
"""Convert iTunes 100x100 artwork to 600x600."""
|
|
if url and '100x100' in url:
|
|
return url.replace('100x100', '600x600')
|
|
return url
|
|
|
|
if entity_type == 'artist':
|
|
fields['name'] = data.get('artistName', '')
|
|
genre = data.get('primaryGenreName', '')
|
|
fields['genres'] = json.dumps([genre] if genre else [])
|
|
fields['popularity'] = 0
|
|
fields['followers'] = 0
|
|
fields['image_url'] = _upscale_artwork(data.get('artworkUrl100'))
|
|
urls = {}
|
|
if data.get('artistViewUrl'):
|
|
urls['itunes'] = data['artistViewUrl']
|
|
fields['external_urls'] = json.dumps(urls)
|
|
|
|
elif entity_type == 'album':
|
|
fields['name'] = data.get('collectionName', '')
|
|
fields['artist_name'] = data.get('artistName', '')
|
|
fields['artist_id'] = str(data.get('artistId', ''))
|
|
fields['release_date'] = data.get('releaseDate', '')[:10] if data.get('releaseDate') else ''
|
|
fields['total_tracks'] = data.get('trackCount', 0)
|
|
# Infer album type from track count
|
|
tc = data.get('trackCount', 0)
|
|
if tc <= 3:
|
|
fields['album_type'] = 'single'
|
|
elif tc <= 6:
|
|
fields['album_type'] = 'ep'
|
|
else:
|
|
fields['album_type'] = 'album'
|
|
fields['image_url'] = _upscale_artwork(data.get('artworkUrl100'))
|
|
urls = {}
|
|
if data.get('collectionViewUrl'):
|
|
urls['itunes'] = data['collectionViewUrl']
|
|
fields['external_urls'] = json.dumps(urls)
|
|
|
|
elif entity_type == 'track':
|
|
fields['name'] = data.get('trackName', '')
|
|
fields['artist_name'] = data.get('artistName', '')
|
|
fields['artist_id'] = str(data.get('artistId', ''))
|
|
fields['album_name'] = data.get('collectionName', '')
|
|
fields['album_id'] = str(data.get('collectionId', ''))
|
|
fields['image_url'] = _upscale_artwork(data.get('artworkUrl100'))
|
|
fields['duration_ms'] = data.get('trackTimeMillis', 0)
|
|
fields['track_number'] = data.get('trackNumber')
|
|
fields['disc_number'] = data.get('discNumber', 1)
|
|
fields['explicit'] = 1 if data.get('trackExplicitness') == 'explicit' else 0
|
|
fields['preview_url'] = data.get('previewUrl')
|
|
urls = {}
|
|
if data.get('trackViewUrl'):
|
|
urls['itunes'] = data['trackViewUrl']
|
|
fields['external_urls'] = json.dumps(urls)
|
|
|
|
return fields
|