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Tomas Dvorak
2026-04-13 17:46:58 +02:00
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swingmusic/services/advanced_ux_service.py
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swingmusic/services/advanced_ux_store.py
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"""Lightweight advanced UX helpers backed by existing in-memory stores."""
from __future__ import annotations
import json
from typing import Any
from sqlalchemy import text
from swingmusic.db.engine import DbEngine
from swingmusic.lib import searchlib
from swingmusic.store.albums import AlbumStore
from swingmusic.store.artists import ArtistStore
from swingmusic.store.tracks import TrackStore
DEFAULT_PREFERENCES = {
"enable_personalization": True,
"discovery_mode": "balanced",
"prefer_local_library": True,
"show_explicit_content": True,
}
def _track_to_item(track) -> dict[str, Any]:
artists = getattr(track, "artists", []) or []
artist_name = (
artists[0].get("name")
if artists and isinstance(artists[0], dict)
else "Unknown Artist"
)
return {
"id": track.trackhash,
"type": "track",
"title": track.title,
"subtitle": artist_name,
"album": track.album,
"image": track.image,
"play_count": int(getattr(track, "playcount", 0) or 0),
}
def _artist_to_item(artist) -> dict[str, Any]:
return {
"id": artist.artisthash,
"type": "artist",
"title": artist.name,
"subtitle": f"{int(getattr(artist, 'trackcount', 0) or 0)} tracks",
"image": artist.image,
"play_count": int(getattr(artist, "playcount", 0) or 0),
}
def _album_to_item(album) -> dict[str, Any]:
album_artists = getattr(album, "albumartists", []) or []
artist_name = (
album_artists[0].get("name")
if album_artists and isinstance(album_artists[0], dict)
else "Unknown Artist"
)
return {
"id": album.albumhash,
"type": "album",
"title": album.title,
"subtitle": artist_name,
"image": album.image,
"play_count": int(getattr(album, "playcount", 0) or 0),
}
class AdvancedUXStore:
def __init__(self):
self._ensure_schema()
def _ensure_schema(self):
with DbEngine.manager(commit=True) as session:
session.execute(
text(
"""
CREATE TABLE IF NOT EXISTS ux_behavior_events (
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id INTEGER NOT NULL,
event_type TEXT NOT NULL,
event_payload TEXT NOT NULL DEFAULT '{}',
created_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP
)
"""
)
)
session.execute(
text(
"""
CREATE TABLE IF NOT EXISTS ux_preferences (
user_id INTEGER PRIMARY KEY,
preferences_json TEXT NOT NULL,
updated_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP
)
"""
)
)
def get_preferences(self, user_id: int) -> dict[str, Any]:
with DbEngine.manager() as session:
row = (
session.execute(
text(
"""
SELECT preferences_json
FROM ux_preferences
WHERE user_id = :user_id
"""
),
{"user_id": int(user_id)},
)
.mappings()
.first()
)
if not row:
return DEFAULT_PREFERENCES.copy()
try:
decoded = json.loads(row["preferences_json"])
if not isinstance(decoded, dict):
return DEFAULT_PREFERENCES.copy()
return {**DEFAULT_PREFERENCES, **decoded}
except json.JSONDecodeError:
return DEFAULT_PREFERENCES.copy()
def update_preferences(self, user_id: int, patch: dict[str, Any]) -> dict[str, Any]:
current = self.get_preferences(user_id)
current.update({k: v for k, v in patch.items() if k in DEFAULT_PREFERENCES})
with DbEngine.manager(commit=True) as session:
session.execute(
text(
"""
INSERT INTO ux_preferences (user_id, preferences_json, updated_at)
VALUES (:user_id, :preferences_json, CURRENT_TIMESTAMP)
ON CONFLICT(user_id) DO UPDATE SET
preferences_json = excluded.preferences_json,
updated_at = CURRENT_TIMESTAMP
"""
),
{
"user_id": int(user_id),
"preferences_json": json.dumps(current),
},
)
return current
def track_behavior(
self, user_id: int, event_type: str, payload: dict[str, Any]
) -> bool:
with DbEngine.manager(commit=True) as session:
session.execute(
text(
"""
INSERT INTO ux_behavior_events (user_id, event_type, event_payload, created_at)
VALUES (:user_id, :event_type, :event_payload, CURRENT_TIMESTAMP)
"""
),
{
"user_id": int(user_id),
"event_type": str(event_type or "unknown"),
"event_payload": json.dumps(payload or {}),
},
)
return True
def get_behavior_profile(self, user_id: int) -> dict[str, Any]:
with DbEngine.manager() as session:
rows = (
session.execute(
text(
"""
SELECT event_type, event_payload, created_at
FROM ux_behavior_events
WHERE user_id = :user_id
ORDER BY id DESC
LIMIT 200
"""
),
{"user_id": int(user_id)},
)
.mappings()
.all()
)
search_queries: list[str] = []
event_counts: dict[str, int] = {}
for row in rows:
event_type = str(row["event_type"])
event_counts[event_type] = event_counts.get(event_type, 0) + 1
try:
payload = json.loads(row["event_payload"])
except json.JSONDecodeError:
payload = {}
if event_type in {"search", "search_query"}:
query = payload.get("query") or payload.get("q")
if isinstance(query, str) and query.strip():
search_queries.append(query.strip())
top_artists = sorted(
ArtistStore.get_flat_list(),
key=lambda a: int(getattr(a, "playcount", 0) or 0),
reverse=True,
)[:10]
top_genres = []
genre_counter: dict[str, int] = {}
for track in TrackStore.get_flat_list()[:5000]:
genres = getattr(track, "genres", []) or []
for entry in genres:
name = entry.get("name") if isinstance(entry, dict) else entry
if not isinstance(name, str):
continue
normalized = name.strip().lower()
if not normalized:
continue
genre_counter[normalized] = genre_counter.get(normalized, 0) + 1
top_genres = [
name
for name, _ in sorted(
genre_counter.items(), key=lambda x: x[1], reverse=True
)[:10]
]
return {
"user_id": int(user_id),
"favorite_genres": top_genres,
"favorite_artists": [artist.name for artist in top_artists],
"listening_patterns": {
"top_event_types": event_counts,
},
"download_preferences": {},
"interaction_patterns": event_counts,
"last_updated": rows[0]["created_at"] if rows else None,
"search_history_count": len(search_queries),
"recent_searches": search_queries[:20],
}
def search_suggestions(
self, query: str, context: str, limit: int
) -> list[dict[str, Any]]:
query = (query or "").strip()
limit = max(1, min(limit, 30))
suggestions: list[dict[str, Any]] = []
if not query:
for track in sorted(
TrackStore.get_flat_list(),
key=lambda t: int(getattr(t, "playcount", 0) or 0),
reverse=True,
)[:limit]:
suggestions.append(_track_to_item(track))
return suggestions
try:
results = searchlib.TopResults().search(query, limit=max(limit, 5))
if isinstance(results, dict):
top = results.get("top_result")
if isinstance(top, dict):
suggestions.append(
{
"id": top.get("trackhash")
or top.get("albumhash")
or top.get("artisthash")
or top.get("id"),
"type": top.get("type", "item"),
"title": top.get("title")
or top.get("name")
or "Top result",
"subtitle": top.get("artist") or top.get("album") or "",
}
)
for key, item_type in (
("tracks", "track"),
("artists", "artist"),
("albums", "album"),
):
for item in results.get(key) or []:
suggestions.append(
{
"id": item.get("trackhash")
or item.get("artisthash")
or item.get("albumhash")
or item.get("id"),
"type": item_type,
"title": item.get("title") or item.get("name") or "",
"subtitle": item.get("artist")
or item.get("album")
or "",
"image": item.get("image", ""),
}
)
except Exception:
pass
seen = set()
deduped = []
for item in suggestions:
key = (item.get("type"), item.get("id"), item.get("title"))
if key in seen:
continue
seen.add(key)
deduped.append(item)
if len(deduped) >= limit:
break
return deduped
def get_recommendations(
self, recommendation_type: str, limit: int
) -> list[dict[str, Any]]:
recommendation_type = (recommendation_type or "mixed").lower()
limit = max(1, min(limit, 50))
tracks = sorted(
TrackStore.get_flat_list(),
key=lambda t: int(getattr(t, "playcount", 0) or 0),
reverse=True,
)
artists = sorted(
ArtistStore.get_flat_list(),
key=lambda a: int(getattr(a, "playcount", 0) or 0),
reverse=True,
)
albums = sorted(
AlbumStore.get_flat_list(),
key=lambda a: int(getattr(a, "playcount", 0) or 0),
reverse=True,
)
if recommendation_type == "tracks":
return [_track_to_item(track) for track in tracks[:limit]]
if recommendation_type == "artists":
return [_artist_to_item(artist) for artist in artists[:limit]]
if recommendation_type == "albums":
return [_album_to_item(album) for album in albums[:limit]]
mixed: list[dict[str, Any]] = []
for idx in range(limit):
if idx < len(tracks):
mixed.append(_track_to_item(tracks[idx]))
if len(mixed) >= limit:
break
if idx < len(artists):
mixed.append(_artist_to_item(artists[idx]))
if len(mixed) >= limit:
break
if idx < len(albums):
mixed.append(_album_to_item(albums[idx]))
if len(mixed) >= limit:
break
return mixed[:limit]
def get_contextual_suggestions(
self, track_id: str, context_type: str, limit: int
) -> list[dict[str, Any]]:
track_id = str(track_id or "").strip()
context_type = str(context_type or "similar").lower()
limit = max(1, min(limit, 30))
if not track_id:
return []
track_list = TrackStore.get_tracks_by_trackhashes([track_id])
if not track_list:
return []
base_track = track_list[0]
suggestions: list[dict[str, Any]] = []
if context_type == "album":
for track in TrackStore.get_tracks_by_albumhash(base_track.albumhash):
if track.trackhash == base_track.trackhash:
continue
suggestions.append(_track_to_item(track))
if len(suggestions) >= limit:
break
return suggestions
# default: similar by primary artist
primary_artist = None
artists = getattr(base_track, "artists", []) or []
if artists and isinstance(artists[0], dict):
primary_artist = artists[0].get("artisthash")
if not primary_artist:
return []
for track in TrackStore.get_tracks_by_artisthash(primary_artist):
if track.trackhash == base_track.trackhash:
continue
suggestions.append(_track_to_item(track))
if len(suggestions) >= limit:
break
return suggestions
def get_download_suggestions(self, query: str, limit: int) -> list[dict[str, Any]]:
suggestions = self.search_suggestions(
query=query, context="download", limit=limit
)
return [item for item in suggestions if item.get("type") in {"track", "album"}]
def get_search_filters(self) -> list[dict[str, Any]]:
filters = [
{"key": "type", "label": "Type", "options": ["track", "album", "artist"]},
{
"key": "sort",
"label": "Sort",
"options": ["relevance", "popular", "recent"],
},
{"key": "explicit", "label": "Explicit", "options": ["include", "exclude"]},
]
return filters
def get_trending(
self, item_type: str, timeframe: str, limit: int
) -> list[dict[str, Any]]:
return self.get_recommendations(item_type, limit)
def advanced_search(self, payload: dict[str, Any]) -> dict[str, Any]:
query = str(payload.get("query") or payload.get("q") or "").strip()
limit = int(payload.get("limit") or 20)
limit = max(1, min(limit, 100))
if not query:
return {
"query": query,
"results": {
"tracks": [],
"albums": [],
"artists": [],
"playlists": [],
},
}
try:
tracks = searchlib.SearchTracks(query)(limit=limit)
albums = searchlib.SearchAlbums(query)(limit=limit)
artists = searchlib.SearchArtists(query)(limit=limit)
except Exception:
tracks, albums, artists = [], [], []
return {
"query": query,
"results": {
"tracks": [_track_to_item(track) for track in tracks[:limit]],
"albums": [_album_to_item(album) for album in albums[:limit]],
"artists": [_artist_to_item(artist) for artist in artists[:limit]],
"playlists": [],
},
"total_count": min(limit * 3, len(tracks) + len(albums) + len(artists)),
}
def quick_suggestions(
self, suggestion_type: str, limit: int
) -> list[dict[str, Any]]:
suggestion_type = (suggestion_type or "search").lower()
limit = max(1, min(limit, 20))
if suggestion_type == "trending":
return self.get_trending("mixed", "week", limit)
return self.search_suggestions(query="", context=suggestion_type, limit=limit)
advanced_ux_store = AdvancedUXStore()
swingmusic/services/analytics_queue.py
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"""
Analytics Event Queue using DragonflyDB.
Provides a high-performance event queue for analytics events using DragonflyDB
lists. Events are queued for batch processing, reducing database load and
enabling real-time analytics aggregation.
"""
import json
import logging
import time
import uuid
from dataclasses import dataclass, field
from enum import StrEnum
from typing import Any
from swingmusic.db.dragonfly_client import get_dragonfly_client
logger = logging.getLogger(__name__)
# Maximum queue size before forced flush
MAX_QUEUE_SIZE = 10000
# Event expiry (7 days)
EVENT_TTL = 7 * 24 * 60 * 60
class EventType(StrEnum):
"""Types of analytics events."""
# Playback events
TRACK_PLAY = "track_play"
TRACK_SKIP = "track_skip"
TRACK_COMPLETE = "track_complete"
ALBUM_PLAY = "album_play"
ARTIST_PLAY = "artist_play"
# User interaction events
FAVORITE_ADD = "favorite_add"
FAVORITE_REMOVE = "favorite_remove"
PLAYLIST_CREATE = "playlist_create"
PLAYLIST_ADD_TRACK = "playlist_add_track"
PLAYLIST_REMOVE_TRACK = "playlist_remove_track"
# Search events
SEARCH_QUERY = "search_query"
SEARCH_RESULT_CLICK = "search_result_click"
# Download events
DOWNLOAD_START = "download_start"
DOWNLOAD_COMPLETE = "download_complete"
DOWNLOAD_FAIL = "download_fail"
# Library events
LIBRARY_SCAN = "library_scan"
LIBRARY_UPDATE = "library_update"
# Session events
SESSION_START = "session_start"
SESSION_END = "session_end"
@dataclass
class AnalyticsEvent:
"""Represents a single analytics event."""
event_type: EventType
timestamp: int
userid: int
data: dict[str, Any]
event_id: str = field(default_factory=lambda: uuid.uuid4().hex)
def to_dict(self) -> dict[str, Any]:
return {
"event_id": self.event_id,
"event_type": self.event_type.value,
"timestamp": self.timestamp,
"userid": self.userid,
"data": self.data,
}
@classmethod
def from_dict(cls, data: dict[str, Any]) -> "AnalyticsEvent":
return cls(
event_id=data["event_id"],
event_type=EventType(data["event_type"]),
timestamp=data["timestamp"],
userid=data["userid"],
data=data["data"],
)
class AnalyticsEventQueue:
"""
Manages analytics events using DragonflyDB lists.
Events are pushed to a Redis list and can be processed in batches
by a background worker. This decouples event collection from
event processing, improving application responsiveness.
"""
def __init__(self, max_queue_size: int = MAX_QUEUE_SIZE):
self.max_queue_size = max_queue_size
self._client = None
@property
def client(self):
if self._client is None:
self._client = get_dragonfly_client()
return self._client
def _get_queue_key(self) -> str:
"""Get the main event queue key."""
return "analytics:events:queue"
def _get_processing_key(self) -> str:
"""Get the processing list key (for reliable queue pattern)."""
return "analytics:events:processing"
def _get_stats_key(self, event_type: EventType) -> str:
"""Get the key for event type statistics."""
return f"analytics:stats:{event_type.value}"
def _get_hourly_key(self, event_type: EventType, hour: int) -> str:
"""Get the key for hourly event counts."""
return f"analytics:hourly:{event_type.value}:{hour}"
def enqueue(self, event: AnalyticsEvent) -> bool:
"""
Add an event to the queue.
Args:
event: The analytics event to enqueue
Returns:
True if successful, False otherwise
"""
if not self.client.is_available():
return False
try:
queue_key = self._get_queue_key()
# Push event to queue (RPUSH for FIFO processing)
self.client.client.rpush(queue_key, json.dumps(event.to_dict()))
# Increment event type counter
stats_key = self._get_stats_key(event.event_type)
self.client.client.incr(stats_key)
# Increment hourly counter
hour = event.timestamp // 3600
hourly_key = self._get_hourly_key(event.event_type, hour)
self.client.client.incr(hourly_key)
self.client.client.expire(hourly_key, EVENT_TTL)
return True
except Exception as e:
logger.error(f"Failed to enqueue analytics event: {e}")
return False
def enqueue_batch(self, events: list[AnalyticsEvent]) -> int:
"""
Add multiple events to the queue atomically.
Returns:
Number of events successfully enqueued
"""
if not self.client.is_available():
return 0
try:
queue_key = self._get_queue_key()
pipe = self.client.client.pipeline()
for event in events:
pipe.rpush(queue_key, json.dumps(event.to_dict()))
# Increment counters
stats_key = self._get_stats_key(event.event_type)
pipe.incr(stats_key)
hour = event.timestamp // 3600
hourly_key = self._get_hourly_key(event.event_type, hour)
pipe.incr(hourly_key)
pipe.expire(hourly_key, EVENT_TTL)
pipe.execute()
return len(events)
except Exception as e:
logger.error(f"Failed to enqueue batch: {e}")
return 0
def dequeue(self, batch_size: int = 100) -> list[AnalyticsEvent]:
"""
Get a batch of events from the queue for processing.
Uses the reliable queue pattern: events are moved to a processing
list before being returned. They should be acknowledged after
successful processing.
Args:
batch_size: Maximum number of events to dequeue
Returns:
List of analytics events
"""
if not self.client.is_available():
return []
try:
queue_key = self._get_queue_key()
processing_key = self._get_processing_key()
events = []
for _ in range(batch_size):
# RPOPLPUSH: atomically pop from queue and push to processing
result = self.client.client.rpoplpush(queue_key, processing_key)
if not result:
break
try:
event = AnalyticsEvent.from_dict(json.loads(result))
events.append(event)
except json.JSONDecodeError:
# Invalid event, remove from processing
self.client.client.lrem(processing_key, 1, result)
continue
return events
except Exception as e:
logger.error(f"Failed to dequeue events: {e}")
return []
def acknowledge(self, event_ids: list[str]) -> int:
"""
Acknowledge processed events, removing them from the processing list.
Args:
event_ids: List of event IDs to acknowledge
Returns:
Number of events acknowledged
"""
if not self.client.is_available():
return 0
try:
processing_key = self._get_processing_key()
# Get all events in processing list
all_events = self.client.client.lrange(processing_key, 0, -1)
acknowledged = 0
for event_json in all_events:
try:
event_data = json.loads(event_json)
if event_data.get("event_id") in event_ids:
self.client.client.lrem(processing_key, 1, event_json)
acknowledged += 1
except json.JSONDecodeError:
continue
return acknowledged
except Exception as e:
logger.error(f"Failed to acknowledge events: {e}")
return 0
def requeue_unprocessed(self, timeout_seconds: int = 300) -> int:
"""
Re-queue events that have been in processing for too long.
This handles the case where a worker crashes while processing events.
Args:
timeout_seconds: Time after which processing events are considered stale
Returns:
Number of events re-queued
"""
if not self.client.is_available():
return 0
try:
queue_key = self._get_queue_key()
processing_key = self._get_processing_key()
# Move all processing events back to queue
# In production, you'd check timestamps for timeout
requeued = 0
while True:
result = self.client.client.rpoplpush(processing_key, queue_key)
if not result:
break
requeued += 1
return requeued
except Exception as e:
logger.error(f"Failed to requeue unprocessed events: {e}")
return 0
def get_queue_size(self) -> int:
"""Get the number of events in the queue."""
if not self.client.is_available():
return 0
try:
return self.client.client.llen(self._get_queue_key())
except Exception:
return 0
def get_event_count(self, event_type: EventType) -> int:
"""Get the total count for an event type."""
if not self.client.is_available():
return 0
try:
key = self._get_stats_key(event_type)
value = self.client.get(key)
return int(value) if value else 0
except Exception:
return 0
def get_hourly_counts(
self, event_type: EventType, start_hour: int, end_hour: int
) -> dict[int, int]:
"""
Get hourly event counts for a time range.
Args:
event_type: The event type to query
start_hour: Start hour (Unix timestamp / 3600)
end_hour: End hour (Unix timestamp / 3600)
Returns:
Dict mapping hour to event count
"""
if not self.client.is_available():
return {}
try:
counts = {}
for hour in range(start_hour, end_hour + 1):
key = self._get_hourly_key(event_type, hour)
value = self.client.get(key)
counts[hour] = int(value) if value else 0
return counts
except Exception as e:
logger.error(f"Failed to get hourly counts: {e}")
return {}
def clear_queue(self) -> bool:
"""Clear all events from the queue."""
if not self.client.is_available():
return False
try:
self.client.client.delete(self._get_queue_key())
self.client.client.delete(self._get_processing_key())
return True
except Exception:
return False
# Helper functions for common events
def track_played(
userid: int,
trackhash: str,
duration: int,
source: str,
) -> AnalyticsEvent:
"""Create a track play event."""
return AnalyticsEvent(
event_type=EventType.TRACK_PLAY,
timestamp=int(time.time()),
userid=userid,
data={
"trackhash": trackhash,
"duration": duration,
"source": source,
},
)
def track_skipped(
userid: int,
trackhash: str,
position: int,
) -> AnalyticsEvent:
"""Create a track skip event."""
return AnalyticsEvent(
event_type=EventType.TRACK_SKIP,
timestamp=int(time.time()),
userid=userid,
data={
"trackhash": trackhash,
"position": position,
},
)
def favorite_toggled(
userid: int,
item_type: str,
itemhash: str,
added: bool,
) -> AnalyticsEvent:
"""Create a favorite toggle event."""
return AnalyticsEvent(
event_type=EventType.FAVORITE_ADD if added else EventType.FAVORITE_REMOVE,
timestamp=int(time.time()),
userid=userid,
data={
"item_type": item_type,
"itemhash": itemhash,
},
)
def search_performed(
userid: int,
query: str,
results_count: int,
filters: dict[str, Any] | None = None,
) -> AnalyticsEvent:
"""Create a search event."""
return AnalyticsEvent(
event_type=EventType.SEARCH_QUERY,
timestamp=int(time.time()),
userid=userid,
data={
"query": query,
"results_count": results_count,
"filters": filters or {},
},
)
# Global instance
analytics_queue = AnalyticsEventQueue()
def get_analytics_queue() -> AnalyticsEventQueue:
"""Get the global analytics queue instance."""
return analytics_queue
swingmusic/services/artist_recommendations.py
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from __future__ import annotations
from sqlalchemy import and_, func, select
from swingmusic.db.engine import DbEngine
from swingmusic.db.userdata import ScrobbleTable, SimilarArtistTable
from swingmusic.models.track import Track
from swingmusic.store.tracks import TrackStore
def _deterministic_float_from_hash(value: str) -> float:
# Stable pseudo-random signal for deterministic cold-start ranking.
if not value:
return 0.0
try:
sample = int(value[:8], 16)
except ValueError:
sample = sum(ord(ch) for ch in value)
return (sample % 1000) / 1000.0
def _get_user_track_play_counts(trackhashes: set[str], userid: int) -> dict[str, int]:
if not trackhashes:
return {}
with DbEngine.manager() as conn:
result = conn.execute(
select(ScrobbleTable.trackhash, func.count(ScrobbleTable.id).label("plays"))
.where(
and_(
ScrobbleTable.userid == userid,
ScrobbleTable.trackhash.in_(trackhashes),
)
)
.group_by(ScrobbleTable.trackhash)
)
rows = result.fetchall()
return {row.trackhash: int(row.plays) for row in rows}
def rank_tracks_for_user(tracks: list[Track], userid: int) -> list[Track]:
if not tracks:
return []
trackhashes = {track.trackhash for track in tracks}
play_counts = _get_user_track_play_counts(trackhashes, userid)
max_bitrate = max((track.bitrate for track in tracks), default=1)
max_play_count = max(play_counts.values(), default=0)
# Approximate recency from date tag where present (fallback to deterministic signal).
dates = [track.date for track in tracks if track.date and track.date > 0]
min_date = min(dates) if dates else 0
max_date = max(dates) if dates else 0
def base_score(track: Track) -> float:
bitrate_score = (track.bitrate / max_bitrate) if max_bitrate else 0.0
if max_date > min_date and track.date:
recency_score = (track.date - min_date) / (max_date - min_date)
else:
recency_score = _deterministic_float_from_hash(track.trackhash)
variety = _deterministic_float_from_hash(track.trackhash[::-1])
return (0.55 * bitrate_score) + (0.25 * recency_score) + (0.20 * variety)
def final_score(track: Track) -> float:
base = base_score(track)
if max_play_count <= 0:
return base
user_signal = play_counts.get(track.trackhash, 0) / max_play_count
return (0.65 * user_signal) + (0.35 * base)
return sorted(tracks, key=final_score, reverse=True)
def _dedupe_tracks(tracks: list[Track]) -> list[Track]:
seen = set()
deduped: list[Track] = []
for track in tracks:
if track.trackhash in seen:
continue
seen.add(track.trackhash)
deduped.append(track)
return deduped
def build_artist_recommendations(
artisthash: str, userid: int
) -> dict[str, list[Track]]:
source_tracks = TrackStore.get_tracks_by_artisthash(artisthash)
source_tracks = _dedupe_tracks(source_tracks)
this_is_tracks = rank_tracks_for_user(source_tracks, userid)[:40]
radio_candidates: list[Track] = []
similar = SimilarArtistTable.get_by_hash(artisthash)
if similar:
for similar_hash in similar.get_artist_hash_set():
if similar_hash == artisthash:
continue
candidate_tracks = TrackStore.get_tracks_by_artisthash(similar_hash)
candidate_tracks = rank_tracks_for_user(
_dedupe_tracks(candidate_tracks), userid
)
radio_candidates.extend(candidate_tracks[:6])
if not radio_candidates:
fallback = TrackStore.get_flat_list()
fallback = [track for track in fallback if artisthash not in track.artisthashes]
fallback = rank_tracks_for_user(_dedupe_tracks(fallback), userid)
radio_candidates = fallback[:90]
radio_tracks = rank_tracks_for_user(_dedupe_tracks(radio_candidates), userid)[:50]
return {
"this_is": this_is_tracks,
"artist_radio": radio_tracks,
}
swingmusic/services/audio_quality_manager.py
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swingmusic/services/audio_quality_store.py
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"""Lightweight persistence and helpers for audio quality preferences."""
from __future__ import annotations
import json
from copy import deepcopy
from typing import Any
from sqlalchemy import text
from swingmusic.db.engine import DbEngine
DEFAULT_AUDIO_SETTINGS: dict[str, Any] = {
"streaming_quality": "high",
"adaptive_quality": True,
"network_aware_quality": True,
"device_specific_quality": True,
"download_format": "flac",
"download_bitrate": None,
"download_sample_rate": "44.1kHz",
"download_bit_depth": "16bit",
"enable_loudness_normalization": True,
"target_loudness": -14.0,
"enable_adaptive_eq": True,
"enable_spatial_audio_processing": False,
"spatial_audio_format": "stereo",
"enable_crossfade": False,
"crossfade_duration": 2.0,
"enable_gapless_playback": True,
"enable_replaygain": True,
"prioritize_fidelity": True,
"prioritize_file_size": False,
"prioritize_compatibility": False,
"custom_ffmpeg_params": {},
"enable_experimental_codecs": False,
"cache_transcoded_files": True,
}
AUDIO_PRESETS: dict[str, dict[str, Any]] = {
"audiophile": {
"streaming_quality": "lossless",
"download_format": "flac",
"download_sample_rate": "96kHz",
"download_bit_depth": "24bit",
"prioritize_fidelity": True,
},
"portable": {
"streaming_quality": "high",
"download_format": "aac_256",
"adaptive_quality": True,
"network_aware_quality": True,
},
"data_saver": {
"streaming_quality": "data_saver",
"download_format": "mp3_128",
"prioritize_file_size": True,
"prioritize_fidelity": False,
},
"studio": {
"streaming_quality": "lossless",
"download_format": "wav",
"download_sample_rate": "192kHz",
"download_bit_depth": "32bit",
"prioritize_fidelity": True,
},
"gaming": {
"streaming_quality": "medium",
"download_format": "mp3_256",
"enable_crossfade": False,
"enable_gapless_playback": True,
},
"podcast": {
"streaming_quality": "medium",
"download_format": "aac_128",
"target_loudness": -16.0,
"enable_adaptive_eq": True,
},
}
SUPPORTED_FORMATS = [
"flac",
"alac",
"wav",
"mp3_320",
"mp3_256",
"mp3_192",
"mp3_128",
"aac_256",
"aac_192",
"aac_128",
"ogg_vorbis",
"ogg_opus",
]
class AudioQualityStore:
def __init__(self):
self._ensure_schema()
def _ensure_schema(self):
with DbEngine.manager(commit=True) as session:
session.execute(
text(
"""
CREATE TABLE IF NOT EXISTS audio_quality_settings (
user_id INTEGER PRIMARY KEY,
settings_json TEXT NOT NULL,
updated_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP
)
"""
)
)
def _normalize_settings(self, incoming: dict[str, Any]) -> dict[str, Any]:
settings = deepcopy(DEFAULT_AUDIO_SETTINGS)
for key, value in incoming.items():
if key not in settings:
continue
settings[key] = value
if settings["streaming_quality"] not in {
"lossless",
"high",
"medium",
"low",
"data_saver",
}:
settings["streaming_quality"] = DEFAULT_AUDIO_SETTINGS["streaming_quality"]
if not isinstance(settings["custom_ffmpeg_params"], dict):
settings["custom_ffmpeg_params"] = {}
return settings
def get_settings(self, user_id: int) -> dict[str, Any]:
with DbEngine.manager() as session:
row = (
session.execute(
text(
"""
SELECT settings_json
FROM audio_quality_settings
WHERE user_id = :user_id
"""
),
{"user_id": int(user_id)},
)
.mappings()
.first()
)
if not row:
return deepcopy(DEFAULT_AUDIO_SETTINGS)
try:
raw = json.loads(row["settings_json"])
if not isinstance(raw, dict):
return deepcopy(DEFAULT_AUDIO_SETTINGS)
return self._normalize_settings(raw)
except json.JSONDecodeError:
return deepcopy(DEFAULT_AUDIO_SETTINGS)
def save_settings(self, user_id: int, settings: dict[str, Any]) -> dict[str, Any]:
normalized = self._normalize_settings(settings)
with DbEngine.manager(commit=True) as session:
session.execute(
text(
"""
INSERT INTO audio_quality_settings (user_id, settings_json, updated_at)
VALUES (:user_id, :settings_json, CURRENT_TIMESTAMP)
ON CONFLICT(user_id) DO UPDATE SET
settings_json = excluded.settings_json,
updated_at = CURRENT_TIMESTAMP
"""
),
{
"user_id": int(user_id),
"settings_json": json.dumps(normalized),
},
)
return normalized
def update_settings(self, user_id: int, patch: dict[str, Any]) -> dict[str, Any]:
current = self.get_settings(user_id)
current.update(patch)
return self.save_settings(user_id, current)
def apply_preset(
self, user_id: int, preset_name: str
) -> tuple[dict[str, Any] | None, bool]:
preset = AUDIO_PRESETS.get(preset_name)
if preset is None:
return None, False
settings = self.update_settings(user_id, preset)
return settings, True
def get_presets(self) -> list[dict[str, Any]]:
return [{"key": key, "settings": value} for key, value in AUDIO_PRESETS.items()]
def get_supported_formats(self) -> list[str]:
return SUPPORTED_FORMATS[:]
def get_network_status(self) -> dict[str, Any]:
# Keep deterministic and cheap. A dedicated bandwidth probe can be added later.
return {
"speed": 0,
"quality": "unknown",
"metered": False,
"latency_ms": None,
}
def get_device_info(self, user_agent: str) -> dict[str, Any]:
ua = (user_agent or "").lower()
if any(token in ua for token in ("iphone", "android", "mobile")):
device_type = "mobile"
elif any(token in ua for token in ("ipad", "tablet")):
device_type = "tablet"
else:
device_type = "desktop"
if "windows" in ua:
os_name = "windows"
elif "mac os" in ua or "macintosh" in ua:
os_name = "macos"
elif "linux" in ua:
os_name = "linux"
elif "android" in ua:
os_name = "android"
elif "iphone" in ua or "ipad" in ua:
os_name = "ios"
else:
os_name = "unknown"
return {
"type": device_type,
"os": os_name,
"supports_lossless": device_type in {"desktop", "tablet"},
"supports_spatial_audio": device_type != "unknown",
}
def get_optimal_streaming_quality(
self, user_id: int, context: dict[str, Any] | None = None
) -> str:
settings = self.get_settings(user_id)
preferred = settings.get("streaming_quality", "high")
context = context or {}
battery_low = bool(context.get("battery_low"))
network_quality = str(context.get("network_quality") or "")
if battery_low and preferred == "lossless":
return "high"
if network_quality in {"poor", "slow"}:
return "medium" if preferred in {"lossless", "high"} else preferred
return preferred
audio_quality_store = AudioQualityStore()
swingmusic/services/cache_invalidation.py
+228
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"""
Cache invalidation hooks for DragonflyDB caches.
This module provides centralized cache invalidation when data is updated,
ensuring cache consistency across all DragonflyDB cache namespaces.
"""
import logging
from swingmusic.db.dragonfly_extended_client import (
get_homepage_cache_service,
get_mobile_sync_service,
get_realtime_service,
get_search_cache_service,
get_track_cache_service,
get_user_session_service,
)
logger = logging.getLogger(__name__)
class CacheInvalidationService:
"""Centralized cache invalidation for DragonflyDB caches."""
def invalidate_track(self, trackhash: str) -> None:
"""Invalidate all caches related to a track."""
# Track metadata cache
track_cache = get_track_cache_service()
if track_cache.cache.client.is_available():
try:
track_cache.invalidate_track(trackhash)
logger.debug(f"Invalidated track cache for {trackhash}")
except Exception as e:
logger.debug(f"Failed to invalidate track cache: {e}")
# Homepage cache (track may appear in recent/featured)
homepage_cache = get_homepage_cache_service()
if homepage_cache.cache.client.is_available():
try:
# Invalidate all homepage caches that might contain this track
homepage_cache.invalidate_user_homepage(0) # Global cache
logger.debug("Invalidated homepage cache")
except Exception as e:
logger.debug(f"Failed to invalidate homepage cache: {e}")
# Search cache (track may appear in search results)
search_cache = get_search_cache_service()
if search_cache.cache.client.is_available():
try:
search_cache.clear_search_cache()
logger.debug("Invalidated search cache")
except Exception as e:
logger.debug(f"Failed to invalidate search cache: {e}")
def invalidate_tracks(self, trackhashes: list[str]) -> None:
"""Invalidate caches for multiple tracks."""
for trackhash in trackhashes:
self.invalidate_track(trackhash)
def invalidate_album(self, albumhash: str) -> None:
"""Invalidate all caches related to an album."""
# Homepage cache
homepage_cache = get_homepage_cache_service()
if homepage_cache.cache.client.is_available():
try:
homepage_cache.invalidate_user_homepage(0)
logger.debug(f"Invalidated homepage cache for album {albumhash}")
except Exception as e:
logger.debug(f"Failed to invalidate homepage cache: {e}")
# Search cache
search_cache = get_search_cache_service()
if search_cache.cache.client.is_available():
try:
search_cache.clear_search_cache()
logger.debug("Invalidated search cache")
except Exception as e:
logger.debug(f"Failed to invalidate search cache: {e}")
def invalidate_artist(self, artisthash: str) -> None:
"""Invalidate all caches related to an artist."""
# Homepage cache
homepage_cache = get_homepage_cache_service()
if homepage_cache.cache.client.is_available():
try:
homepage_cache.invalidate_user_homepage(0)
logger.debug(f"Invalidated homepage cache for artist {artisthash}")
except Exception as e:
logger.debug(f"Failed to invalidate homepage cache: {e}")
# Search cache
search_cache = get_search_cache_service()
if search_cache.cache.client.is_available():
try:
search_cache.clear_search_cache()
logger.debug("Invalidated search cache")
except Exception as e:
logger.debug(f"Failed to invalidate search cache: {e}")
def invalidate_user_session(self, userid: int) -> None:
"""Invalidate user session cache."""
session_service = get_user_session_service()
if session_service.session_cache.client.is_available():
try:
session_service.invalidate_session(userid)
logger.debug(f"Invalidated session for user {userid}")
except Exception as e:
logger.debug(f"Failed to invalidate session: {e}")
def invalidate_user_homepage(self, userid: int) -> None:
"""Invalidate homepage cache for a specific user."""
homepage_cache = get_homepage_cache_service()
if homepage_cache.cache.client.is_available():
try:
homepage_cache.invalidate_user_homepage(userid)
logger.debug(f"Invalidated homepage for user {userid}")
except Exception as e:
logger.debug(f"Failed to invalidate homepage: {e}")
def invalidate_mobile_sync(self, device_id: str) -> None:
"""Invalidate mobile sync cache for a device."""
sync_service = get_mobile_sync_service()
if sync_service.sync_cache.client.is_available():
try:
sync_service.clear_device_sync_queue(device_id)
logger.debug(f"Invalidated sync cache for device {device_id}")
except Exception as e:
logger.debug(f"Failed to invalidate sync cache: {e}")
def invalidate_favorite_status(self, userid: int, trackhash: str) -> None:
"""Invalidate favorite status cache for a track."""
realtime = get_realtime_service()
if realtime.favorite_cache.client.is_available():
try:
realtime.toggle_favorite(userid, trackhash)
logger.debug(f"Invalidated favorite status for {trackhash}")
except Exception as e:
logger.debug(f"Failed to invalidate favorite status: {e}")
def invalidate_playcount(self, trackhash: str) -> None:
"""Invalidate playcount cache for a track."""
realtime = get_realtime_service()
if realtime.playcount_cache.client.is_available():
try:
# Clear playcount cache entry
key = f"playcounts:{trackhash}"
realtime.playcount_cache.client.delete(key)
logger.debug(f"Invalidated playcount for {trackhash}")
except Exception as e:
logger.debug(f"Failed to invalidate playcount: {e}")
def invalidate_all_caches(self) -> None:
"""Invalidate all caches - use sparingly."""
services = [
get_track_cache_service(),
get_search_cache_service(),
get_homepage_cache_service(),
get_user_session_service(),
get_mobile_sync_service(),
get_realtime_service(),
]
for service in services:
try:
if hasattr(service, "cache") and service.cache.client.is_available():
service.cache.client.flushdb()
logger.info(f"Flushed cache for {service.__class__.__name__}")
elif (
hasattr(service, "session_cache")
and service.session_cache.client.is_available()
):
service.session_cache.client.flushdb()
logger.info(f"Flushed cache for {service.__class__.__name__}")
elif (
hasattr(service, "playcount_cache")
and service.playcount_cache.client.is_available()
):
service.playcount_cache.client.flushdb()
logger.info(f"Flushed cache for {service.__class__.__name__}")
except Exception as e:
logger.error(f"Failed to flush cache: {e}")
# Global instance
cache_invalidation = CacheInvalidationService()
def on_track_inserted(trackhash: str) -> None:
"""Hook called when a new track is inserted."""
# Invalidate search and homepage caches
cache_invalidation.invalidate_track(trackhash)
def on_track_updated(trackhash: str) -> None:
"""Hook called when a track is updated."""
cache_invalidation.invalidate_track(trackhash)
def on_track_deleted(trackhash: str) -> None:
"""Hook called when a track is deleted."""
cache_invalidation.invalidate_track(trackhash)
def on_album_updated(albumhash: str) -> None:
"""Hook called when an album is updated."""
cache_invalidation.invalidate_album(albumhash)
def on_artist_updated(artisthash: str) -> None:
"""Hook called when an artist is updated."""
cache_invalidation.invalidate_artist(artisthash)
def on_user_updated(userid: int) -> None:
"""Hook called when user data is updated."""
cache_invalidation.invalidate_user_session(userid)
cache_invalidation.invalidate_user_homepage(userid)
def on_playlist_updated(playlist_id: int, userid: int) -> None:
"""Hook called when a playlist is updated."""
cache_invalidation.invalidate_user_homepage(userid)
def on_library_scan_completed() -> None:
"""Hook called when a library scan completes."""
# Invalidate all caches since library content changed
cache_invalidation.invalidate_all_caches()
swingmusic/services/cached_spotify_client.py
+202
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"""
Cached Spotify Web Player Client with Rate Limiting and DragonflyDB
Enhanced Spotify client with intelligent caching to:
- Rate limit requests (2 second intervals, 1000/hour max)
- Cache data for 12 hours in DragonflyDB/SQLite
- Protect against Spotify API bans
- Provide fast response times for cached data
"""
import logging
from typing import Any
from swingmusic.services.spotify_cache_manager import get_spotify_cache_manager
from swingmusic.services.spotify_web_player_client import (
SpotifyTrack,
get_spotify_web_player_client,
)
logger = logging.getLogger(__name__)
class CachedSpotifyClient:
"""
Enhanced Spotify client with intelligent caching and rate limiting
"""
def __init__(self, cache_duration_hours: int = 12):
self.cache_manager = get_spotify_cache_manager()
self.spotify_client = get_spotify_web_player_client()
logger.info(
f"Cached Spotify client initialized (cache: {cache_duration_hours}h)"
)
def get_track(self, track_id: str) -> SpotifyTrack | None:
"""Get track with caching and rate limiting"""
def fetch_track(track_id: str) -> dict[str, Any] | None:
track = self.spotify_client.get_track(track_id)
if track:
return {
"id": track.id,
"name": track.name,
"artists": track.artists,
"album": track.album,
"duration_ms": track.duration_ms,
"playcount": track.playcount,
"popularity": track.popularity,
"preview_url": track.preview_url,
"explicit": track.explicit,
"external_urls": track.external_urls,
"track_number": track.track_number,
"disc_number": track.disc_number,
}
return None
# Get from cache or fetch
cached_data = self.cache_manager.get_or_fetch_track(track_id, fetch_track)
if cached_data:
return SpotifyTrack(**cached_data)
return None
def get_album(self, album_id: str) -> dict[str, Any] | None:
"""Get album with caching and rate limiting"""
def fetch_album(album_id: str) -> dict[str, Any] | None:
album = self.spotify_client.get_album(album_id)
if album:
return {
"id": album.id,
"name": album.name,
"artists": album.artists,
"release_date": album.release_date,
"total_tracks": album.total_tracks,
"popularity": album.popularity,
"images": album.images,
"external_urls": album.external_urls,
"available_markets": album.available_markets,
"album_type": album.album_type,
"tracks": album.tracks,
}
return None
return self.cache_manager.get_or_fetch_album(album_id, fetch_album)
def get_artist(self, artist_id: str) -> dict[str, Any] | None:
"""Get artist with caching and rate limiting"""
def fetch_artist(artist_id: str) -> dict[str, Any] | None:
artist = self.spotify_client.get_artist(artist_id)
if artist:
return {
"id": artist.id,
"name": artist.name,
"followers": artist.followers,
"popularity": artist.popularity,
"genres": artist.genres,
"images": artist.images,
"external_urls": artist.external_urls,
}
return None
return self.cache_manager.get_or_fetch_artist(artist_id, fetch_artist)
def get_playlist(self, playlist_id: str) -> dict[str, Any] | None:
"""Get playlist with caching and rate limiting"""
def fetch_playlist(playlist_id: str) -> dict[str, Any] | None:
playlist = self.spotify_client.get_playlist(playlist_id)
if playlist:
return {
"id": playlist.id,
"name": playlist.name,
"description": playlist.description,
"owner": playlist.owner,
"public": playlist.public,
"collaborative": playlist.collaborative,
"tracks": playlist.tracks,
"images": playlist.images,
"external_urls": playlist.external_urls,
}
return None
return self.cache_manager.get_or_fetch_track(
f"playlist:{playlist_id}", fetch_playlist
)
def search(
self, query: str, search_type: str = "track", limit: int = 20
) -> dict[str, Any]:
"""Search with minimal caching (search results change frequently)"""
# Apply rate limiting for search
self.cache_manager._rate_limit()
try:
return self.spotify_client.search(query, search_type, limit)
except Exception as e:
logger.error(f"Search failed: {e}")
return {"tracks": [], "albums": [], "artists": []}
def get_cache_stats(self) -> dict[str, Any]:
"""Get cache and rate limiting statistics"""
stats = self.cache_manager.get_cache_stats()
stats.update(
{
"spotify_token_valid": self.spotify_client._token is not None,
"spotify_client_token_valid": (
self.spotify_client._token.client_token is not None
if self.spotify_client._token
else False
),
}
)
return stats
def cleanup_cache(self) -> int:
"""Clean up expired cache entries"""
return self.cache_manager.cleanup_expired_cache()
def preload_popular_data(self, track_ids: list[str]) -> dict[str, bool]:
"""Preload popular tracks to cache (for faster startup)"""
results = {}
logger.info(f"Preloading {len(track_ids)} popular tracks...")
for i, track_id in enumerate(track_ids):
logger.info(f"Preloading track {i + 1}/{len(track_ids)}: {track_id}")
# Check if already cached
if self.cache_manager.get_cached_data("track", track_id):
results[track_id] = True
continue
# Fetch and cache
track = self.get_track(track_id)
results[track_id] = track is not None
# Small delay between preloads to be respectful
if i < len(track_ids) - 1:
import time
time.sleep(0.5)
success_count = sum(1 for success in results.values() if success)
logger.info(f"Preloaded {success_count}/{len(track_ids)} tracks successfully")
return results
# Global cached client instance
_cached_client: CachedSpotifyClient | None = None
def get_cached_spotify_client(cache_duration_hours: int = 12) -> CachedSpotifyClient:
"""Get or create the global cached Spotify client"""
global _cached_client
if _cached_client is None:
_cached_client = CachedSpotifyClient(cache_duration_hours)
return _cached_client
swingmusic/services/download_jobs.py
+579
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from __future__ import annotations
import logging
import os
import re
import threading
import time
from typing import Any
from sqlalchemy import select
from swingmusic.config import UserConfig
# DragonflyDB integration for fast job queue operations
from swingmusic.db.dragonfly_extended_client import get_job_queue_service
from swingmusic.db.engine import DbEngine
from swingmusic.db.libdata import TrackTable
from swingmusic.db.production import (
DownloadJobTable,
LibraryFileTable,
LyricsStatusTable,
UserRootDirOwnershipTable,
)
from swingmusic.db.userdata import UserTable
from swingmusic.lib.index import run_index_pipeline
from swingmusic.services.download_provider_adapters import fallback_download_adapter
from swingmusic.services.library_projection import (
mark_track_available,
mark_track_failed,
mark_track_queued,
)
from swingmusic.services.lyrics_backfill import backfill_lyrics_async
from swingmusic.services.spotiflac_worker import spotiflac_worker
from swingmusic.utils.hashing import create_hash
log = logging.getLogger(__name__)
def _sanitize_filename(value: str) -> str:
filename = re.sub(r"[^\w\s\-.]", "", value, flags=re.UNICODE)
filename = re.sub(r"\s+", " ", filename).strip()
return filename[:120] or f"download-{int(time.time())}"
def _quality_to_codec_and_bitrate(
quality: str, codec_hint: str | None = None
) -> tuple[str, int]:
quality = (quality or "high").lower()
if quality == "lossless":
return (codec_hint or "flac", 1411)
if quality == "high":
return (codec_hint or "mp3", 320)
if quality == "medium":
return (codec_hint or "mp3", 192)
return (codec_hint or "mp3", 128)
def _resolve_primary_root_dir() -> str:
config = UserConfig()
if config.rootDirs:
root = config.rootDirs[0]
if root == "$home":
return os.path.join(os.path.expanduser("~"), "Music")
return root
return os.path.join(os.path.expanduser("~"), "Music")
def _resolve_download_root_for_user(userid: int | None = None) -> str:
if userid is None:
return _resolve_primary_root_dir()
owned_roots = UserRootDirOwnershipTable.get_paths(userid)
if owned_roots:
root = owned_roots[0]
if root == "$home":
return os.path.join(os.path.expanduser("~"), "Music")
return root
shared_root = _resolve_primary_root_dir()
user = UserTable.get_by_id(userid)
username = (
_sanitize_filename(user.username)
if user and user.username
else f"user-{userid}"
)
# Isolate user downloads by default while keeping paths under configured roots.
user_root = os.path.join(shared_root, "SwingMusic Users", username)
os.makedirs(user_root, exist_ok=True)
UserRootDirOwnershipTable.assign_paths(userid, [user_root])
return user_root
def _resolve_download_dir(
target_path: str | None = None, userid: int | None = None
) -> str:
if target_path:
directory = os.path.dirname(target_path) or target_path
os.makedirs(directory, exist_ok=True)
return directory
root = _resolve_download_root_for_user(userid)
download_dir = os.path.join(root, "SwingMusic Downloads")
os.makedirs(download_dir, exist_ok=True)
return download_dir
def _compute_trackhash(
title: str | None,
artist: str | None,
album: str | None,
fallback: str | None = None,
) -> str | None:
if title and artist:
return create_hash(title, album or "", artist)
return fallback
def _refresh_user_projection_for_download_path(
*,
userid: int,
path: str,
source: str,
) -> int:
"""
Re-indexes library metadata and marks tracks in the downloaded path as
available for the requesting user.
Returns number of projected tracks.
"""
if not path:
return 0
scope_path = path
if not os.path.isdir(scope_path):
scope_path = os.path.dirname(scope_path) or scope_path
if not scope_path or not os.path.exists(scope_path):
return 0
run_index_pipeline()
projected = 0
for track in TrackTable.get_tracks_in_path(scope_path):
if not track.filepath or not os.path.exists(track.filepath):
continue
mark_track_available(
track.trackhash,
filepath=track.filepath,
bitrate=int(track.bitrate or 0),
userid=userid,
source=source,
)
projected += 1
return projected
class DownloadJobManager:
def __init__(self) -> None:
self._thread: threading.Thread | None = None
self._stop = threading.Event()
def start(self) -> None:
if self._thread and self._thread.is_alive():
return
self._stop.clear()
self._thread = threading.Thread(
target=self._worker_loop, name="download-job-worker", daemon=True
)
self._thread.start()
def stop(self) -> None:
self._stop.set()
if self._thread and self._thread.is_alive():
self._thread.join(timeout=2)
def enqueue(
self,
*,
userid: int,
source_url: str | None,
source: str,
quality: str,
codec: str | None = None,
trackhash: str | None = None,
title: str | None = None,
artist: str | None = None,
album: str | None = None,
item_type: str = "track",
target_path: str | None = None,
payload: dict[str, Any] | None = None,
) -> int:
resolved_trackhash = _compute_trackhash(title, artist, album, trackhash)
job_id = DownloadJobTable.enqueue(
{
"userid": userid,
"source_url": source_url,
"source": source,
"provider": source,
"quality": quality,
"codec": codec or "mp3",
"trackhash": resolved_trackhash,
"title": title,
"artist": artist,
"album": album,
"item_type": item_type,
"target_path": target_path,
"payload": payload or {},
}
)
if resolved_trackhash:
mark_track_queued(
resolved_trackhash,
job_id=job_id,
source_url=source_url,
userid=userid,
)
# Also enqueue to DragonflyDB for fast queue access and monitoring
job_queue = get_job_queue_service()
if job_queue.cache.client.is_available():
try:
job_queue.enqueue_job(
"downloads",
{
"job_id": job_id,
"userid": userid,
"source": source,
"trackhash": resolved_trackhash,
"title": title,
"artist": artist,
"item_type": item_type,
"queued_at": int(time.time()),
},
)
log.debug(f"Enqueued job {job_id} to DragonflyDB queue")
except Exception as e:
log.debug(f"Failed to enqueue to DragonflyDB: {e}")
return job_id
def list_jobs(self, userid: int, limit: int = 200) -> list[dict[str, Any]]:
with DbEngine.manager() as conn:
result = conn.execute(
select(DownloadJobTable)
.where(DownloadJobTable.userid == userid)
.order_by(DownloadJobTable.created_at.desc())
.limit(limit)
)
jobs = list(result.scalars())
return [self.serialize_job(job) for job in jobs]
def get_job(self, job_id: int, userid: int | None = None) -> dict[str, Any] | None:
job = DownloadJobTable.get_by_id(job_id)
if not job:
return None
if userid is not None and job.userid != userid:
return None
return self.serialize_job(job)
def cancel(self, job_id: int, userid: int) -> bool:
job = DownloadJobTable.get_by_id(job_id)
if not job or job.userid != userid:
return False
if job.state in {"completed", "failed", "cancelled"}:
return False
DownloadJobTable.update_job(
job_id,
{
"state": "cancelled",
"error": "Cancelled by user",
"finished_at": int(time.time()),
},
)
if job.trackhash:
mark_track_failed(
job.trackhash, error="Cancelled by user", job_id=job_id, userid=userid
)
return True
def retry(self, job_id: int, userid: int) -> bool:
job = DownloadJobTable.get_by_id(job_id)
if not job or job.userid != userid:
return False
if job.state not in {"failed", "cancelled"}:
return False
DownloadJobTable.update_job(
job_id,
{
"state": "queued",
"progress": 0.0,
"error": None,
"started_at": None,
"finished_at": None,
"retry_count": int(job.retry_count or 0) + 1,
},
)
if job.trackhash:
mark_track_queued(
job.trackhash, job_id=job_id, source_url=job.source_url, userid=userid
)
return True
def clear_queue(self, userid: int) -> int:
jobs = DownloadJobTable.list_for_user(userid, states={"queued", "downloading"})
cancelled = 0
for job in jobs:
if self.cancel(job.id, userid):
cancelled += 1
return cancelled
def clear_history(self, userid: int) -> int:
return DownloadJobTable.delete_for_user(
userid,
states={"completed", "failed", "cancelled"},
)
@staticmethod
def serialize_job(job: Any) -> dict[str, Any]:
return {
"id": job.id,
"state": job.state,
"status": job.state,
"source": job.source,
"service": job.source,
"provider": job.provider,
"source_url": job.source_url,
"quality": job.quality,
"codec": job.codec,
"target_path": job.target_path,
"error": job.error,
"progress": round(float(job.progress or 0.0), 2),
"trackhash": job.trackhash,
"title": job.title,
"artist": job.artist,
"album": job.album,
"item_type": job.item_type,
"created_at": job.created_at,
"updated_at": job.updated_at,
"started_at": job.started_at,
"finished_at": job.finished_at,
"retry_count": int(job.retry_count or 0),
}
def _worker_loop(self) -> None:
while not self._stop.is_set():
job = DownloadJobTable.get_queued_job()
if not job:
time.sleep(0.6)
continue
self._process_job(job)
def _process_job(self, job: Any) -> None:
now = int(time.time())
DownloadJobTable.update_job(
job.id,
{
"state": "downloading",
"started_at": now,
"progress": 1.0,
"error": None,
},
)
trackhash = _compute_trackhash(job.title, job.artist, job.album, job.trackhash)
try:
# Job might have been cancelled by user while running.
current = DownloadJobTable.get_by_id(job.id)
if not current or current.state == "cancelled":
return
# Dedupe/import-aware reuse: if file already exists in the media registry,
# re-link it to this user instead of downloading again.
if trackhash:
existing_file = LibraryFileTable.get_by_trackhash(trackhash)
if (
existing_file
and existing_file.filepath
and os.path.exists(existing_file.filepath)
):
mark_track_available(
trackhash,
filepath=existing_file.filepath,
bitrate=int(existing_file.bitrate or 0),
userid=job.userid,
source="registry_reuse",
)
DownloadJobTable.update_job(
job.id,
{
"state": "completed",
"progress": 100.0,
"target_path": existing_file.filepath,
"trackhash": trackhash,
"codec": existing_file.codec or job.codec,
"finished_at": int(time.time()),
},
)
return
DownloadJobTable.update_job(job.id, {"progress": 11.0})
codec, bitrate = _quality_to_codec_and_bitrate(job.quality, job.codec)
extension = codec.lower() if codec else "mp3"
safe_title = _sanitize_filename(
job.title or job.trackhash or f"job-{job.id}"
)
directory = _resolve_download_dir(job.target_path, userid=job.userid)
target_path = job.target_path or os.path.join(
directory, f"{safe_title}.{extension}"
)
os.makedirs(os.path.dirname(target_path), exist_ok=True)
DownloadJobTable.update_job(job.id, {"progress": 23.0})
provider_errors: list[str] = []
result = None
try:
result = spotiflac_worker.download(
source_url=job.source_url or "",
output_dir=directory,
codec=codec,
quality=job.quality,
item_type=job.item_type,
target_path=target_path if job.item_type == "track" else None,
)
except Exception as primary_error:
provider_errors.append(f"spotiflac: {primary_error}")
if result is None and fallback_download_adapter.is_available():
try:
result = fallback_download_adapter.download(
source_url=job.source_url or "",
output_dir=directory,
codec=codec,
quality=job.quality,
item_type=job.item_type,
target_path=target_path if job.item_type == "track" else None,
)
except Exception as fallback_error:
provider_errors.append(
f"{fallback_download_adapter.name}: {fallback_error}"
)
if result is None:
error_message = (
"; ".join(provider_errors) or "No download provider succeeded"
)
raise RuntimeError(error_message)
DownloadJobTable.update_job(job.id, {"progress": 92.0})
final_path = result.file_path
final_codec = result.codec or codec
final_bitrate = int(result.bitrate or bitrate)
if trackhash and final_path and os.path.exists(final_path):
mark_track_available(
trackhash,
filepath=final_path,
bitrate=final_bitrate,
userid=job.userid,
source=result.provider or job.source,
)
# Non-track jobs (album/artist/playlist) must project downloaded files
# to the requesting user's library before final completion.
if job.item_type != "track":
try:
DownloadJobTable.update_job(job.id, {"progress": 96.0})
projected = _refresh_user_projection_for_download_path(
userid=job.userid,
path=final_path or directory,
source=result.provider or job.source,
)
DownloadJobTable.update_job(
job.id,
{
"progress": 99.0,
"payload": {
**(job.payload or {}),
"projected_tracks": projected,
},
},
)
except Exception as projection_error:
# Keep the download successful, but expose projection warning
# so UI can surface retries/rescan actions.
log.exception("Failed to refresh projection for job %s", job.id)
DownloadJobTable.update_job(
job.id,
{
"payload": {
**(job.payload or {}),
"projection_error": str(projection_error),
},
},
)
DownloadJobTable.update_job(
job.id,
{
"state": "completed",
"progress": 100.0,
"target_path": final_path,
"trackhash": trackhash,
"codec": final_codec,
"finished_at": int(time.time()),
},
)
if trackhash and final_path and os.path.exists(final_path):
LyricsStatusTable.upsert(
trackhash=trackhash,
filepath=final_path,
status="pending",
source="download",
has_embedded=False,
has_lrc=os.path.exists(os.path.splitext(final_path)[0] + ".lrc"),
last_error=None,
extra={"job_id": job.id, "provider": result.provider},
)
backfill_lyrics_async(
filepath=final_path,
title=job.title,
artist=job.artist,
album=job.album,
trackhash=trackhash,
)
except Exception as error:
message = str(error)
DownloadJobTable.update_job(
job.id,
{
"state": "failed",
"error": message,
"finished_at": int(time.time()),
},
)
if trackhash:
mark_track_failed(
trackhash, error=message, job_id=job.id, userid=job.userid
)
LyricsStatusTable.upsert(
trackhash=trackhash,
filepath=job.target_path,
status="failed",
source="download",
last_error=message,
extra={"job_id": job.id},
increment_attempt=True,
)
# Global process-wide manager used by API wrappers.
download_job_manager = DownloadJobManager()
swingmusic/services/download_progress.py
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"""
Download Progress Tracking using DragonflyDB.
Provides real-time download progress tracking using DragonflyDB pub/sub
and sorted sets. This enables live progress updates for downloads without
polling the database.
"""
import json
import logging
import time
from dataclasses import dataclass
from enum import StrEnum
from typing import Any
from swingmusic.db.dragonfly_client import get_dragonfly_client
logger = logging.getLogger(__name__)
# Progress update expiry (1 hour)
PROGRESS_TTL = 3600
class DownloadStatus(StrEnum):
QUEUED = "queued"
DOWNLOADING = "downloading"
COMPLETED = "completed"
FAILED = "failed"
CANCELLED = "cancelled"
@dataclass
class DownloadProgress:
"""Represents the progress of a single download."""
download_id: str
trackhash: str
title: str
artist: str
status: DownloadStatus
progress_percent: float
bytes_downloaded: int
total_bytes: int
speed_bps: int
eta_seconds: int
started_at: int
updated_at: int
error_message: str | None = None
def to_dict(self) -> dict[str, Any]:
return {
"download_id": self.download_id,
"trackhash": self.trackhash,
"title": self.title,
"artist": self.artist,
"status": self.status.value,
"progress_percent": self.progress_percent,
"bytes_downloaded": self.bytes_downloaded,
"total_bytes": self.total_bytes,
"speed_bps": self.speed_bps,
"eta_seconds": self.eta_seconds,
"started_at": self.started_at,
"updated_at": self.updated_at,
"error_message": self.error_message,
}
@classmethod
def from_dict(cls, data: dict[str, Any]) -> "DownloadProgress":
return cls(
download_id=data["download_id"],
trackhash=data["trackhash"],
title=data["title"],
artist=data["artist"],
status=DownloadStatus(data["status"]),
progress_percent=data["progress_percent"],
bytes_downloaded=data["bytes_downloaded"],
total_bytes=data["total_bytes"],
speed_bps=data["speed_bps"],
eta_seconds=data["eta_seconds"],
started_at=data["started_at"],
updated_at=data["updated_at"],
error_message=data.get("error_message"),
)
class DownloadProgressTracker:
"""
Tracks download progress in real-time using DragonflyDB.
Uses Redis sorted sets for ordering by time and hash maps
for storing progress data. Supports pub/sub for live updates.
"""
def __init__(self):
self._client = None
@property
def client(self):
if self._client is None:
self._client = get_dragonfly_client()
return self._client
def _get_progress_key(self, download_id: str) -> str:
"""Get the key for a download's progress data."""
return f"download_progress:{download_id}"
def _get_user_downloads_key(self, userid: int) -> str:
"""Get the key for a user's active downloads list."""
return f"downloads:user:{userid}"
def _get_channel_name(self, userid: int) -> str:
"""Get the pub/sub channel name for a user."""
return f"downloads:updates:{userid}"
def start_download(
self,
userid: int,
download_id: str,
trackhash: str,
title: str,
artist: str,
total_bytes: int = 0,
) -> DownloadProgress:
"""
Start tracking a new download.
Args:
userid: The user ID
download_id: Unique download identifier
trackhash: Track hash being downloaded
title: Track title
artist: Artist name
total_bytes: Expected total bytes (0 if unknown)
Returns:
The created DownloadProgress object
"""
now = int(time.time())
progress = DownloadProgress(
download_id=download_id,
trackhash=trackhash,
title=title,
artist=artist,
status=DownloadStatus.DOWNLOADING,
progress_percent=0.0,
bytes_downloaded=0,
total_bytes=total_bytes,
speed_bps=0,
eta_seconds=0,
started_at=now,
updated_at=now,
)
if self.client.is_available():
try:
# Store progress data
key = self._get_progress_key(download_id)
self.client.set(key, json.dumps(progress.to_dict()), ex=PROGRESS_TTL)
# Add to user's active downloads (sorted by start time)
user_key = self._get_user_downloads_key(userid)
self.client.client.zadd(user_key, {download_id: now})
self.client.client.expire(user_key, PROGRESS_TTL)
# Publish update
self._publish_update(userid, progress)
except Exception as e:
logger.error(f"Failed to start download tracking: {e}")
return progress
def update_progress(
self,
userid: int,
download_id: str,
bytes_downloaded: int,
total_bytes: int = 0,
speed_bps: int = 0,
) -> DownloadProgress | None:
"""
Update download progress.
Args:
userid: The user ID
download_id: Download identifier
bytes_downloaded: Bytes downloaded so far
total_bytes: Total bytes (0 if unknown)
speed_bps: Current download speed in bytes per second
Returns:
Updated DownloadProgress or None if not found
"""
if not self.client.is_available():
return None
try:
key = self._get_progress_key(download_id)
data = self.client.get(key)
if not data:
return None
progress = DownloadProgress.from_dict(json.loads(data))
# Update progress
progress.bytes_downloaded = bytes_downloaded
progress.updated_at = int(time.time())
if total_bytes > 0:
progress.total_bytes = total_bytes
progress.progress_percent = (bytes_downloaded / total_bytes) * 100
if speed_bps > 0:
progress.speed_bps = speed_bps
remaining_bytes = total_bytes - bytes_downloaded
progress.eta_seconds = remaining_bytes // speed_bps
# Store updated progress
self.client.set(key, json.dumps(progress.to_dict()), ex=PROGRESS_TTL)
# Publish update
self._publish_update(userid, progress)
return progress
except Exception as e:
logger.error(f"Failed to update download progress: {e}")
return None
def complete_download(
self,
userid: int,
download_id: str,
success: bool = True,
error_message: str | None = None,
) -> bool:
"""
Mark a download as completed or failed.
Args:
userid: The user ID
download_id: Download identifier
success: Whether download succeeded
error_message: Error message if failed
Returns:
True if successful, False otherwise
"""
if not self.client.is_available():
return False
try:
key = self._get_progress_key(download_id)
data = self.client.get(key)
if not data:
return False
progress = DownloadProgress.from_dict(json.loads(data))
progress.status = (
DownloadStatus.COMPLETED if success else DownloadStatus.FAILED
)
progress.progress_percent = 100.0 if success else progress.progress_percent
progress.updated_at = int(time.time())
progress.error_message = error_message
# Store final progress
self.client.set(key, json.dumps(progress.to_dict()), ex=PROGRESS_TTL)
# Remove from active downloads
user_key = self._get_user_downloads_key(userid)
self.client.client.zrem(user_key, download_id)
# Publish final update
self._publish_update(userid, progress)
return True
except Exception as e:
logger.error(f"Failed to complete download tracking: {e}")
return False
def cancel_download(self, userid: int, download_id: str) -> bool:
"""Cancel a download."""
if not self.client.is_available():
return False
try:
key = self._get_progress_key(download_id)
data = self.client.get(key)
if not data:
return False
progress = DownloadProgress.from_dict(json.loads(data))
progress.status = DownloadStatus.CANCELLED
progress.updated_at = int(time.time())
# Store cancelled status
self.client.set(key, json.dumps(progress.to_dict()), ex=PROGRESS_TTL)
# Remove from active downloads
user_key = self._get_user_downloads_key(userid)
self.client.client.zrem(user_key, download_id)
# Publish update
self._publish_update(userid, progress)
return True
except Exception as e:
logger.error(f"Failed to cancel download: {e}")
return False
def get_progress(self, download_id: str) -> DownloadProgress | None:
"""Get the current progress for a download."""
if not self.client.is_available():
return None
try:
key = self._get_progress_key(download_id)
data = self.client.get(key)
if not data:
return None
return DownloadProgress.from_dict(json.loads(data))
except Exception:
return None
def get_active_downloads(self, userid: int) -> list[DownloadProgress]:
"""Get all active downloads for a user."""
if not self.client.is_available():
return []
try:
user_key = self._get_user_downloads_key(userid)
# Get all download IDs (most recent first)
download_ids = self.client.client.zrevrange(user_key, 0, -1)
downloads = []
for download_id in download_ids:
progress = self.get_progress(download_id)
if progress and progress.status in (
DownloadStatus.QUEUED,
DownloadStatus.DOWNLOADING,
):
downloads.append(progress)
return downloads
except Exception as e:
logger.error(f"Failed to get active downloads: {e}")
return []
def _publish_update(self, userid: int, progress: DownloadProgress) -> None:
"""Publish a progress update to the user's channel."""
try:
channel = self._get_channel_name(userid)
self.client.client.publish(channel, json.dumps(progress.to_dict()))
except Exception as e:
logger.debug(f"Failed to publish progress update: {e}")
# Global instance
download_progress_tracker = DownloadProgressTracker()
def get_download_progress_tracker() -> DownloadProgressTracker:
"""Get the global download progress tracker instance."""
return download_progress_tracker
swingmusic/services/download_provider_adapters.py
+190
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from __future__ import annotations
import os
import shlex
import shutil
import subprocess
import time
from dataclasses import dataclass
from pathlib import Path
SUPPORTED_AUDIO_EXTENSIONS = {
".flac",
".mp3",
".m4a",
".ogg",
".opus",
".wav",
".aac",
}
@dataclass
class AdapterDownloadResult:
file_path: str
codec: str
bitrate: int
provider: str
def _quality_to_bitrate(quality: str, codec: str) -> int:
quality = (quality or "high").lower()
codec = (codec or "mp3").lower()
if codec == "flac" or quality == "lossless":
return 1411
if quality == "high":
return 320
if quality == "medium":
return 192
return 128
class CommandFallbackAdapter:
"""
Generic command adapter used as fallback when the primary SpotiFLAC
provider is not available or fails.
Configure with:
- SWINGMUSIC_FALLBACK_DOWNLOAD_CMD
Default: disabled.
Example:
'{url}' -> source URL
'{output_dir}' -> destination directory
'{codec}' / '{quality}' / '{item_type}' / '{target_path}'
"""
def __init__(self) -> None:
self.name = os.getenv("SWINGMUSIC_FALLBACK_PROVIDER_NAME", "fallback-command")
self.command_template = os.getenv(
"SWINGMUSIC_FALLBACK_DOWNLOAD_CMD", ""
).strip()
self.timeout_seconds = int(
os.getenv("SWINGMUSIC_FALLBACK_TIMEOUT_SECONDS", "3600")
)
def is_available(self) -> bool:
if not self.command_template:
return False
try:
command = shlex.split(self.command_template)
except ValueError:
return False
if not command:
return False
executable = command[0]
return shutil.which(executable) is not None
@staticmethod
def _list_audio_files(output_dir: str) -> set[Path]:
directory = Path(output_dir)
if not directory.exists():
return set()
files: set[Path] = set()
for path in directory.rglob("*"):
if path.is_file() and path.suffix.lower() in SUPPORTED_AUDIO_EXTENSIONS:
files.add(path.resolve())
return files
def _build_command(
self,
*,
source_url: str,
output_dir: str,
codec: str,
quality: str,
item_type: str,
target_path: str | None,
) -> list[str]:
command = self.command_template.format(
url=source_url,
output_dir=output_dir,
codec=codec,
quality=quality,
item_type=item_type,
target_path=target_path or "",
)
return shlex.split(command)
def download(
self,
*,
source_url: str,
output_dir: str,
codec: str,
quality: str,
item_type: str,
target_path: str | None = None,
) -> AdapterDownloadResult:
if not source_url:
raise RuntimeError("Fallback adapter requires source_url")
if not self.is_available():
raise RuntimeError(
"Fallback adapter command is not configured or unavailable"
)
os.makedirs(output_dir, exist_ok=True)
before = self._list_audio_files(output_dir)
command = self._build_command(
source_url=source_url,
output_dir=output_dir,
codec=codec,
quality=quality,
item_type=item_type,
target_path=target_path,
)
process = subprocess.run(
command,
capture_output=True,
text=True,
timeout=self.timeout_seconds,
check=False,
)
if process.returncode != 0:
err = (
process.stderr.strip()
or process.stdout.strip()
or "Fallback command failed"
)
raise RuntimeError(err)
if target_path and Path(target_path).exists():
resolved = str(Path(target_path).resolve())
return AdapterDownloadResult(
file_path=resolved if item_type == "track" else output_dir,
codec=Path(resolved).suffix.lstrip(".") or codec,
bitrate=_quality_to_bitrate(quality, codec),
provider=self.name,
)
after = self._list_audio_files(output_dir)
new_files = list(after - before)
if not new_files:
new_files = list(after)
if not new_files:
raise RuntimeError(
"Fallback adapter finished without producing audio files"
)
newest = max(
new_files,
key=lambda path: path.stat().st_mtime if path.exists() else time.time(),
)
resolved = str(newest.resolve())
resolved_codec = newest.suffix.lstrip(".") or codec
return AdapterDownloadResult(
file_path=resolved if item_type == "track" else output_dir,
codec=resolved_codec,
bitrate=_quality_to_bitrate(quality, resolved_codec),
provider=self.name,
)
fallback_download_adapter = CommandFallbackAdapter()
swingmusic/services/enhanced_album_grouper.py
+487
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"""
Enhanced Album Grouper for SwingMusic
Handles proper album grouping with various artists, compilations, and metadata normalization
"""
import re
import unicodedata
from dataclasses import dataclass
from difflib import SequenceMatcher
from swingmusic import logger
from swingmusic.db.sqlite.utils import get_db_connection
@dataclass
class AlbumGroupingKey:
"""Key for album grouping with normalization"""
normalized_artist: str
normalized_album: str
year: str | None
is_compilation: bool
album_type: str # album, single, compilation, etc.
@dataclass
class AlbumInfo:
"""Enhanced album information"""
album_id: str
title: str
artists: list[str]
primary_artist: str
year: str | None
album_type: str
is_compilation: bool
track_count: int
total_duration: int
image_url: str | None
folder_path: str
grouping_key: str
class MetadataNormalizer:
"""Normalizes metadata for consistent grouping"""
# Common variations that should be normalized
ARTIST_VARIATIONS = {
"various artists": ["various artists", "va", "various", "multiple artists"],
"soundtrack": [
"soundtrack",
"ost",
"original soundtrack",
"original sound track",
],
"various": ["various", "various artists", "va"],
}
# Words to remove for better matching
STOP_WORDS = {
"the",
"a",
"an",
"and",
"or",
"but",
"for",
"nor",
"so",
"yet",
"to",
"of",
"in",
"on",
"at",
"by",
"with",
"about",
"as",
}
# Patterns to clean up
CLEANUP_PATTERNS = [
r"\[.*?\]", # Remove brackets and content
r"\(.*?\)", # Remove parentheses and content
r"\{.*?\}", # Remove braces and content
r"<.*?>", # Remove angle brackets and content
r" feat\. .*", # Remove featuring info
r" ft\. .*", # Remove featuring info
r" featuring .*", # Remove featuring info
]
@classmethod
def normalize_string(cls, text: str) -> str:
"""Normalize string for comparison"""
if not text:
return ""
# Convert to lowercase and normalize unicode
text = unicodedata.normalize("NFKD", text.lower())
# Remove accents and diacritics
text = "".join(c for c in text if not unicodedata.combining(c))
# Apply cleanup patterns
for pattern in cls.CLEANUP_PATTERNS:
text = re.sub(pattern, "", text, flags=re.IGNORECASE)
# Remove extra whitespace and punctuation
text = re.sub(r"[^\w\s]", " ", text)
text = re.sub(r"\s+", " ", text).strip()
# Remove stop words (optional for album names)
# words = text.split()
# text = ' '.join(word for word in words if word not in cls.STOP_WORDS)
return text
@classmethod
def normalize_artist(cls, artist: str) -> str:
"""Normalize artist name for grouping"""
if not artist:
return ""
normalized = cls.normalize_string(artist)
# Handle common variations
for standard, variations in cls.ARTIST_VARIATIONS.items():
if normalized in variations:
return standard
return normalized
@classmethod
def normalize_album(cls, album: str) -> str:
"""Normalize album name for grouping"""
return cls.normalize_string(album)
@classmethod
def extract_year(cls, date_str: str) -> str | None:
"""Extract year from date string"""
if not date_str:
return None
# Look for 4-digit year patterns
year_match = re.search(r"\b(19|20)\d{2}\b", date_str)
if year_match:
return year_match.group()
return None
@classmethod
def is_compilation(cls, artists: list[str], albumartist: str = None) -> bool:
"""Determine if album is a compilation"""
if not artists:
return False
# Check if albumartist is "Various Artists"
if albumartist:
normalized_albumartist = cls.normalize_artist(albumartist)
if normalized_albumartist in ["various artists", "va", "various"]:
return True
# Check if there are many different artists
unique_artists = {cls.normalize_artist(artist) for artist in artists}
# If more than 3 unique artists, likely a compilation
if len(unique_artists) > 3:
return True
# Check for common compilation indicators
album_lower = " ".join(artists).lower()
compilation_indicators = [
"various artists",
"soundtrack",
"ost",
"compilation",
"various",
"multiple artists",
"collection",
"greatest hits",
]
return any(indicator in album_lower for indicator in compilation_indicators)
class ArtistAliasResolver:
"""Resolves artist aliases to canonical names"""
def __init__(self):
self.aliases: dict[str, str] = {}
self._load_common_aliases()
def _load_common_aliases(self):
"""Load common artist aliases"""
# Common artist name variations
common_aliases = {
"taylor swift": ["t. swift", "taylor", "swift"],
"the beatles": ["beatles", "the fab four"],
"led zeppelin": ["zeppelin", "led zep"],
"pink floyd": ["floyd"],
"the rolling stones": ["rolling stones", "stones"],
"bob dylan": ["dylan", "bobby dylan"],
"david bowie": ["bowie", "ziggy stardust"],
# Add more as needed
}
for canonical, aliases in common_aliases.items():
for alias in aliases:
self.aliases[MetadataNormalizer.normalize_string(alias)] = canonical
def resolve_alias(self, artist: str) -> str:
"""Resolve artist alias to canonical name"""
normalized = MetadataNormalizer.normalize_string(artist)
return self.aliases.get(normalized, artist)
def add_alias(self, canonical: str, alias: str):
"""Add a new artist alias"""
normalized_alias = MetadataNormalizer.normalize_string(alias)
self.aliases[normalized_alias] = canonical
class AlbumGrouper:
"""Enhanced album grouping with proper normalization"""
def __init__(self):
self.metadata_normalizer = MetadataNormalizer()
self.alias_resolver = ArtistAliasResolver()
self.grouping_cache: dict[str, AlbumGroupingKey] = {}
def normalize_album_artist(self, track_metadata: dict[str, any]) -> str:
"""Normalize album artist for proper grouping"""
# Try albumartist first
albumartist = track_metadata.get("albumartist")
if albumartist:
normalized = self.metadata_normalizer.normalize_artist(albumartist)
resolved = self.alias_resolver.resolve_alias(normalized)
return resolved
# Fall back to artist
artist = track_metadata.get("artist")
if artist:
normalized = self.metadata_normalizer.normalize_artist(artist)
resolved = self.alias_resolver.resolve_alias(normalized)
return resolved
return "Unknown Artist"
def create_grouping_key(self, track_metadata: dict[str, any]) -> AlbumGroupingKey:
"""Create consistent grouping key for albums"""
# Extract and normalize artist
artists = self._extract_artists(track_metadata)
primary_artist = self.normalize_album_artist(track_metadata)
# Normalize album name
album_name = track_metadata.get("album", "")
normalized_album = self.metadata_normalizer.normalize_album(album_name)
# Extract year
release_date = track_metadata.get("date") or track_metadata.get("year")
year = (
self.metadata_normalizer.extract_year(str(release_date))
if release_date
else None
)
# Determine if compilation
is_compilation = self.metadata_normalizer.is_compilation(
artists, track_metadata.get("albumartist")
)
# Determine album type
album_type = track_metadata.get("albumtype", "album")
if is_compilation:
album_type = "compilation"
return AlbumGroupingKey(
normalized_artist=primary_artist,
normalized_album=normalized_album,
year=year,
is_compilation=is_compilation,
album_type=album_type,
)
def create_grouping_key_string(self, track_metadata: dict[str, any]) -> str:
"""Create string-based grouping key for database storage"""
key = self.create_grouping_key(track_metadata)
# Include year for different editions but allow fallback
year_part = f"::{key.year}" if key.year else ""
# Mark compilations specially
compilation_part = "::COMP" if key.is_compilation else ""
return f"{key.normalized_artist}::{key.normalized_album}{year_part}{compilation_part}"
def _extract_artists(self, track_metadata: dict[str, any]) -> list[str]:
"""Extract list of artists from track metadata"""
artists = []
# Try artists field (array)
if "artists" in track_metadata:
if isinstance(track_metadata["artists"], list):
artists.extend(track_metadata["artists"])
else:
artists.append(str(track_metadata["artists"]))
# Try artist field
if "artist" in track_metadata:
artist_str = track_metadata["artist"]
if isinstance(artist_str, list):
artists.extend(artist_str)
else:
# Split common separators
for sep in [",", ";", "&", " and ", " ft ", " feat "]:
if sep in artist_str:
artists.extend([a.strip() for a in artist_str.split(sep)])
break
else:
artists.append(artist_str)
# Remove duplicates and empty strings
return list(set(filter(None, artists)))
def calculate_similarity(self, str1: str, str2: str) -> float:
"""Calculate similarity between two strings"""
return SequenceMatcher(None, str1, str2).ratio()
def should_group_together(
self, key1: AlbumGroupingKey, key2: AlbumGroupingKey
) -> bool:
"""Determine if two albums should be grouped together"""
# Different artists - don't group unless both are compilations
if key1.normalized_artist != key2.normalized_artist:
if not (key1.is_compilation and key2.is_compilation):
return False
# Check album name similarity
album_similarity = self.calculate_similarity(
key1.normalized_album, key2.normalized_album
)
if album_similarity < 0.8: # 80% similarity threshold
return False
# If years are available, they should be close or identical
if key1.year and key2.year and key1.year != key2.year:
# Allow grouping if years are close (e.g., reissues)
year_diff = abs(int(key1.year) - int(key2.year))
if year_diff > 5: # More than 5 years difference
return False
return True
def group_albums_from_database(self) -> dict[str, list[dict[str, any]]]:
"""Group albums from database tracks"""
try:
with get_db_connection() as conn:
# Get all tracks with album information
query = """
SELECT
t.trackhash,
t.title,
t.artist,
t.albumartist,
t.album,
t.date,
t.year,
t.albumtype,
t.image,
t.folderpath,
t.duration
FROM tracks t
WHERE t.album IS NOT NULL AND t.album != ''
ORDER BY t.albumartist, t.album, t.date, t.tracknumber
"""
cursor = conn.execute(query)
tracks = cursor.fetchall()
# Group tracks by album key
album_groups: dict[str, list[dict[str, any]]] = {}
for track in tracks:
track_dict = dict(track)
# Create grouping key
grouping_key = self.create_grouping_key_string(track_dict)
# Add to group
if grouping_key not in album_groups:
album_groups[grouping_key] = []
album_groups[grouping_key].append(track_dict)
return album_groups
except Exception as e:
logger.error(f"Error grouping albums from database: {e}")
return {}
def create_album_info(
self, grouping_key: str, tracks: list[dict[str, any]]
) -> AlbumInfo:
"""Create album info from grouped tracks"""
if not tracks:
raise ValueError("No tracks provided")
first_track = tracks[0]
key = self.create_grouping_key(first_track)
# Extract unique artists
all_artists = set()
for track in tracks:
artists = self._extract_artists(track)
all_artists.update(artists)
# Calculate total duration
total_duration = sum(track.get("duration", 0) for track in tracks)
# Get image from first track (could be enhanced to find best image)
image_url = first_track.get("image")
return AlbumInfo(
album_id=grouping_key,
title=first_track.get("album", ""),
artists=list(all_artists),
primary_artist=key.normalized_artist,
year=key.year,
album_type=key.album_type,
is_compilation=key.is_compilation,
track_count=len(tracks),
total_duration=total_duration,
image_url=image_url,
folder_path=first_track.get("folderpath", ""),
grouping_key=grouping_key,
)
def fix_album_grouping_in_database(self) -> int:
"""Fix album grouping in database and return number of fixes"""
fixes_made = 0
try:
with get_db_connection() as conn:
# Get all tracks
cursor = conn.execute("""
SELECT trackhash, artist, albumartist, album, date, year, albumtype
FROM tracks
WHERE album IS NOT NULL AND album != ''
""")
tracks = cursor.fetchall()
for track in tracks:
track_dict = dict(track)
# Create proper grouping key
self.create_grouping_key_string(track_dict)
# Check if we need to update albumartist
proper_albumartist = self.normalize_album_artist(track_dict)
current_albumartist = track_dict.get("albumartist", "")
if proper_albumartist != current_albumartist:
cursor = conn.execute(
"""
UPDATE tracks
SET albumartist = ?
WHERE trackhash = ?
""",
(proper_albumartist, track_dict["trackhash"]),
)
fixes_made += 1
logger.info(
f"Fixed albumartist for {track_dict['trackhash']}: '{current_albumartist}' -> '{proper_albumartist}'"
)
conn.commit()
except Exception as e:
logger.error(f"Error fixing album grouping: {e}")
return fixes_made
# Global album grouper instance
album_grouper = AlbumGrouper()
swingmusic/services/enhanced_directory_scanner.py
+468
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"""
Enhanced Directory Scanner for SwingMusic
Handles multiple music directories with parallel scanning, permission validation, and error handling
"""
import os
import threading
import time
from concurrent.futures import ThreadPoolExecutor
from dataclasses import dataclass
from pathlib import Path
from typing import Any
from watchdog.events import FileSystemEventHandler
from watchdog.observers import Observer
from swingmusic import logger
@dataclass
class ScanResult:
"""Result of directory scanning operation"""
directory: str
success: bool
files_found: int
folders_found: int
errors: list[str]
scan_time: float
permissions_ok: bool
@dataclass
class FileInfo:
"""Information about a scanned file"""
path: str
size: int
modified_time: float
is_audio: bool
extension: str
@dataclass
class DirectoryStats:
"""Statistics for a scanned directory"""
total_files: int
audio_files: int
total_size: int
last_scan_time: float
scan_duration: float
errors: list[str]
class PermissionValidator:
"""Validates directory permissions for scanning"""
@staticmethod
async def validate_directory(directory: str) -> tuple[bool, list[str]]:
"""Validate if directory can be accessed and scanned"""
errors = []
try:
path = Path(directory)
# Check if directory exists
if not path.exists():
errors.append(f"Directory does not exist: {directory}")
return False, errors
# Check if it's actually a directory
if not path.is_dir():
errors.append(f"Path is not a directory: {directory}")
return False, errors
# Check read permissions
if not os.access(directory, os.R_OK):
errors.append(f"No read permission for directory: {directory}")
return False, errors
# Check execute permissions (needed for directory traversal)
if not os.access(directory, os.X_OK):
errors.append(f"No execute permission for directory: {directory}")
return False, errors
# Try to list directory contents
try:
list(path.iterdir())
except PermissionError as e:
errors.append(f"Cannot list directory contents: {directory} - {str(e)}")
return False, errors
# Check a subdirectory to ensure traversal works
try:
subdirs = [p for p in path.iterdir() if p.is_dir()]
if subdirs:
test_subdir = subdirs[0]
if os.access(test_subdir, os.R_OK | os.X_OK):
return True, errors
else:
errors.append(f"Cannot access subdirectories in: {directory}")
return False, errors
except Exception as e:
errors.append(
f"Error checking subdirectory access: {directory} - {str(e)}"
)
return False, errors
return True, errors
except Exception as e:
errors.append(
f"Unexpected error validating directory {directory}: {str(e)}"
)
return False, errors
class ParallelScanner:
"""Parallel directory scanner with performance optimization"""
def __init__(self, max_workers: int = 4):
self.max_workers = max_workers
self.audio_extensions = {
".flac",
".mp3",
".wav",
".aac",
".m4a",
".ogg",
".wma",
".alac",
".aiff",
".aif",
".dsd",
".dsf",
".dff",
}
async def scan_with_progress(
self, directory: str, progress_callback=None
) -> ScanResult:
"""Scan directory with progress reporting"""
start_time = time.time()
errors = []
files_found = 0
folders_found = 0
try:
path = Path(directory)
# Use ThreadPoolExecutor for parallel file processing
with ThreadPoolExecutor(max_workers=self.max_workers) as executor:
# Collect all files and directories
all_items = list(path.rglob("*"))
total_items = len(all_items)
# Process items in batches
batch_size = 100
processed = 0
for i in range(0, total_items, batch_size):
batch = all_items[i : i + batch_size]
# Process batch in parallel
futures = []
for item in batch:
future = executor.submit(self._process_item, item)
futures.append((future, item))
# Collect results
for future, item in futures:
try:
is_audio, is_dir = future.result(timeout=5)
if is_dir:
folders_found += 1
elif is_audio:
files_found += 1
except Exception as e:
errors.append(f"Error processing {item}: {str(e)}")
processed += len(batch)
# Report progress
if progress_callback:
progress = (processed / total_items) * 100
progress_callback(directory, progress, processed, total_items)
scan_time = time.time() - start_time
return ScanResult(
directory=directory,
success=len(errors) == 0,
files_found=files_found,
folders_found=folders_found,
errors=errors,
scan_time=scan_time,
permissions_ok=True,
)
except Exception as e:
scan_time = time.time() - start_time
errors.append(f"Failed to scan directory {directory}: {str(e)}")
return ScanResult(
directory=directory,
success=False,
files_found=0,
folders_found=0,
errors=errors,
scan_time=scan_time,
permissions_ok=False,
)
def _process_item(self, item: Path) -> tuple[bool, bool]:
"""Process a single file or directory"""
try:
if item.is_dir():
return False, True
elif item.is_file():
is_audio = item.suffix.lower() in self.audio_extensions
return is_audio, False
else:
return False, False
except Exception:
return False, False
class DirectoryCache:
"""Caches directory scan results to improve performance"""
def __init__(self, cache_ttl: int = 3600): # 1 hour TTL
self.cache = {}
self.cache_ttl = cache_ttl
def get(self, directory: str) -> DirectoryStats | None:
"""Get cached directory stats"""
cached = self.cache.get(directory)
if cached and (time.time() - cached.last_scan_time) < self.cache_ttl:
return cached
return None
def set(self, directory: str, stats: DirectoryStats):
"""Cache directory stats"""
self.cache[directory] = stats
def invalidate(self, directory: str):
"""Invalidate cache for specific directory"""
self.cache.pop(directory, None)
def clear(self):
"""Clear all cache"""
self.cache.clear()
class DirectoryWatcher(FileSystemEventHandler):
"""Watches directory changes for automatic rescanning"""
def __init__(self, directory: str, callback):
self.directory = directory
self.callback = callback
self.debounce_timer = None
self.debounce_delay = 5 # 5 seconds debounce
def on_created(self, event):
"""Handle file/directory creation"""
if not event.is_directory:
self._schedule_rescan()
def on_deleted(self, event):
"""Handle file/directory deletion"""
self._schedule_rescan()
def on_moved(self, event):
"""Handle file/directory moves"""
self._schedule_rescan()
def _schedule_rescan(self):
"""Schedule a rescan with debouncing"""
if self.debounce_timer:
self.debounce_timer.cancel()
self.debounce_timer = threading.Timer(self.debounce_delay, self._trigger_rescan)
self.debounce_timer.start()
def _trigger_rescan(self):
"""Trigger the rescan callback"""
try:
self.callback(self.directory)
except Exception as e:
logger.error(f"Error in directory watcher callback: {e}")
class EnhancedDirectoryScanner:
"""Enhanced directory scanner with multiple improvements"""
def __init__(self, max_workers: int = 4):
self.permission_validator = PermissionValidator()
self.parallel_scanner = ParallelScanner(max_workers)
self.cache = DirectoryCache()
self.watchers = {} # directory -> observer
self.scan_history = {}
async def scan_multiple_directories(
self, directories: list[str], progress_callback=None
) -> dict[str, ScanResult]:
"""Efficiently scan multiple music directories in parallel"""
logger.info(f"Starting scan of {len(directories)} directories")
# Validate permissions first
validation_tasks = []
for directory in directories:
task = self.permission_validator.validate_directory(directory)
validation_tasks.append((directory, task))
# Collect validation results
valid_directories = []
validation_results = {}
for directory, task in validation_tasks:
permissions_ok, errors = await task
validation_results[directory] = (permissions_ok, errors)
if permissions_ok:
valid_directories.append(directory)
else:
logger.error(f"Directory validation failed for {directory}: {errors}")
# Scan valid directories in parallel
scan_tasks = []
for directory in valid_directories:
task = self.parallel_scanner.scan_with_progress(
directory, progress_callback
)
scan_tasks.append((directory, task))
# Collect scan results
results = {}
for directory, task in scan_tasks:
result = await task
results[directory] = result
# Cache successful results
if result.success:
stats = DirectoryStats(
total_files=result.files_found + result.folders_found,
audio_files=result.files_found,
total_size=0, # Would need additional calculation
last_scan_time=time.time(),
scan_duration=result.scan_time,
errors=result.errors,
)
self.cache.set(directory, stats)
# Store in history
self.scan_history[directory] = {"last_scan": time.time(), "result": result}
# Add validation failures to results
for directory, (permissions_ok, errors) in validation_results.items():
if not permissions_ok:
results[directory] = ScanResult(
directory=directory,
success=False,
files_found=0,
folders_found=0,
errors=errors,
scan_time=0,
permissions_ok=False,
)
logger.info(f"Completed scan of {len(results)} directories")
return results
async def scan_directory_async(
self, directory: str, progress_callback=None
) -> ScanResult:
"""Async directory scanning with progress tracking"""
# Check cache first
cached_stats = self.cache.get(directory)
if cached_stats:
logger.info(f"Using cached results for {directory}")
return ScanResult(
directory=directory,
success=True,
files_found=cached_stats.audio_files,
folders_found=cached_stats.total_files - cached_stats.audio_files,
errors=cached_stats.errors,
scan_time=cached_stats.scan_duration,
permissions_ok=True,
)
# Validate permissions
permissions_ok, errors = await self.permission_validator.validate_directory(
directory
)
if not permissions_ok:
return ScanResult(
directory=directory,
success=False,
files_found=0,
folders_found=0,
errors=errors,
scan_time=0,
permissions_ok=False,
)
# Perform scan
result = await self.parallel_scanner.scan_with_progress(
directory, progress_callback
)
# Cache successful results
if result.success:
stats = DirectoryStats(
total_files=result.files_found + result.folders_found,
audio_files=result.files_found,
total_size=0,
last_scan_time=time.time(),
scan_duration=result.scan_time,
errors=result.errors,
)
self.cache.set(directory, stats)
return result
def start_watching(self, directory: str, callback):
"""Start watching a directory for changes"""
if directory in self.watchers:
return # Already watching
try:
observer = Observer()
handler = DirectoryWatcher(directory, callback)
observer.schedule(handler, directory, recursive=True)
observer.start()
self.watchers[directory] = observer
logger.info(f"Started watching directory: {directory}")
except Exception as e:
logger.error(f"Failed to start watching {directory}: {e}")
def stop_watching(self, directory: str):
"""Stop watching a directory"""
if directory in self.watchers:
observer = self.watchers.pop(directory)
observer.stop()
observer.join()
logger.info(f"Stopped watching directory: {directory}")
def stop_all_watching(self):
"""Stop watching all directories"""
for directory in list(self.watchers.keys()):
self.stop_watching(directory)
def get_scan_stats(self) -> dict[str, Any]:
"""Get scanning statistics"""
return {
"cached_directories": len(self.cache.cache),
"watched_directories": len(self.watchers),
"scan_history": len(self.scan_history),
"last_scans": {
directory: history["last_scan"]
for directory, history in self.scan_history.items()
},
}
# Global enhanced directory scanner instance
enhanced_directory_scanner = EnhancedDirectoryScanner()
swingmusic/services/enhanced_ui_performance.py
+468
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@@ -0,0 +1,468 @@
"""
Enhanced UI Performance Service for SwingMusic
Provides virtual scrolling, lazy loading, and performance optimizations for large libraries
"""
import asyncio
import json
import time
from collections.abc import Callable
from dataclasses import dataclass
from enum import Enum
from typing import Any
from swingmusic import logger
from swingmusic.db.sqlite.utils import get_db_connection
class ItemType(Enum):
TRACK = "track"
ALBUM = "album"
ARTIST = "artist"
PLAYLIST = "playlist"
FOLDER = "folder"
@dataclass
class VirtualItem:
"""Item in a virtual list"""
id: str
item_type: ItemType
title: str
subtitle: str
image_url: str | None
data: dict[str, Any]
index: int
height: int = 60
loaded: bool = False
visible: bool = False
@dataclass
class ViewportConfig:
"""Viewport configuration for virtual scrolling"""
item_height: int = 60
viewport_height: int = 600
buffer_size: int = 10
overscan: int = 5
@dataclass
class PerformanceMetrics:
"""Performance metrics for UI operations"""
render_time: float
item_count: int
visible_items: int
memory_usage: int
scroll_fps: float
class VirtualScrollManager:
"""Manages virtual scrolling for large lists"""
def __init__(self, config: ViewportConfig):
self.config = config
self.items: list[VirtualItem] = []
self.visible_start = 0
self.visible_end = 0
self.scroll_top = 0
self.last_render_time = 0
self.render_callbacks: list[Callable] = []
def set_items(self, items: list[VirtualItem]):
"""Set the items for virtual scrolling"""
self.items = items
self._update_visible_range()
def update_scroll_position(self, scroll_top: int):
"""Update scroll position and recalculate visible items"""
self.scroll_top = scroll_top
self._update_visible_range()
def _update_visible_range(self):
"""Calculate which items should be visible"""
if not self.items:
self.visible_start = 0
self.visible_end = 0
return
start_index = max(
0, self.scroll_top // self.config.item_height - self.config.overscan
)
end_index = min(
len(self.items),
((self.scroll_top + self.config.viewport_height) // self.config.item_height)
+ self.config.overscan,
)
self.visible_start = start_index
self.visible_end = end_index
# Update item visibility
for i, item in enumerate(self.items):
item.visible = start_index <= i < end_index
def get_visible_items(self) -> list[VirtualItem]:
"""Get currently visible items"""
return self.items[self.visible_start : self.visible_end]
def get_total_height(self) -> int:
"""Get total height of all items"""
return len(self.items) * self.config.item_height
def get_offset_y(self) -> int:
"""Get Y offset for visible items"""
return self.visible_start * self.config.item_height
def add_render_callback(self, callback: Callable):
"""Add callback for render events"""
self.render_callbacks.append(callback)
def trigger_render(self):
"""Trigger render with performance tracking"""
start_time = time.time()
# Notify callbacks
for callback in self.render_callbacks:
try:
callback()
except Exception as e:
logger.error(f"Error in render callback: {e}")
self.last_render_time = time.time() - start_time
class LazyImageLoader:
"""Manages lazy loading of images with intersection observer simulation"""
def __init__(self, max_concurrent: int = 6):
self.max_concurrent = max_concurrent
self.loading_queue: list[tuple[str, Callable]] = []
self.loading_images: set[str] = set()
self.loaded_images: dict[str, str] = {}
self.failed_images: set[str] = set()
def load_image(self, image_url: str, callback: Callable[[str], None]):
"""Load an image with callback"""
if image_url in self.loaded_images:
callback(self.loaded_images[image_url])
return
if image_url in self.failed_images:
callback("") # Return empty string for failed images
return
if image_url in self.loading_images:
# Already loading, add to queue
self.loading_queue.append((image_url, callback))
return
self._start_loading(image_url, callback)
def _start_loading(self, image_url: str, callback: Callable[[str], None]):
"""Start loading an image"""
if len(self.loading_images) >= self.max_concurrent:
self.loading_queue.append((image_url, callback))
return
self.loading_images.add(image_url)
# Simulate image loading (in real implementation, use actual image loading)
asyncio.create_task(self._load_image_async(image_url, callback))
async def _load_image_async(self, image_url: str, callback: Callable[[str], None]):
"""Async image loading simulation"""
try:
# Simulate network delay
await asyncio.sleep(0.1)
# In real implementation, load actual image data
# For now, just return the URL as "loaded"
self.loaded_images[image_url] = image_url
# Remove from loading set
self.loading_images.discard(image_url)
# Call callback
callback(image_url)
# Process next in queue
if self.loading_queue:
next_url, next_callback = self.loading_queue.pop(0)
self._start_loading(next_url, next_callback)
except Exception as e:
logger.error(f"Error loading image {image_url}: {e}")
self.loading_images.discard(image_url)
self.failed_images.add(image_url)
callback("")
def preload_images(self, image_urls: list[str]):
"""Preload a list of images"""
for url in image_urls:
if url not in self.loaded_images and url not in self.failed_images:
self.load_image(url, lambda _: None)
class PerformanceOptimizer:
"""Optimizes UI performance for large datasets"""
def __init__(self):
self.metrics: list[PerformanceMetrics] = []
self.debounce_timers: dict[str, float] = {}
self.throttle_intervals: dict[str, float] = {}
def debounce(self, key: str, func: Callable, delay: float = 0.1):
"""Debounce function calls"""
current_time = time.time()
if key in self.debounce_timers:
if current_time - self.debounce_timers[key] < delay:
return
self.debounce_timers[key] = current_time
asyncio.create_task(self._debounce_async(key, func, delay))
async def _debounce_async(self, key: str, func: Callable, delay: float):
"""Async debounce implementation"""
await asyncio.sleep(delay)
# Check if still the latest call
if key in self.debounce_timers:
try:
func()
except Exception as e:
logger.error(f"Error in debounced function: {e}")
def throttle(self, key: str, func: Callable, interval: float = 0.016): # 60fps
"""Throttle function calls"""
current_time = time.time()
if key in self.throttle_intervals:
if current_time - self.throttle_intervals[key] < interval:
return
self.throttle_intervals[key] = current_time
try:
func()
except Exception as e:
logger.error(f"Error in throttled function: {e}")
def measure_performance(self, operation: str, func: Callable) -> Any:
"""Measure performance of an operation"""
start_time = time.time()
start_memory = self._get_memory_usage()
try:
result = func()
end_time = time.time()
end_memory = self._get_memory_usage()
metrics = PerformanceMetrics(
render_time=end_time - start_time,
item_count=0, # Would be context-specific
visible_items=0,
memory_usage=end_memory - start_memory,
scroll_fps=1.0 / (end_time - start_time)
if end_time > start_time
else 0,
)
self.metrics.append(metrics)
logger.debug(
f"Performance metrics for {operation}: {metrics.render_time:.3f}s"
)
return result
except Exception as e:
logger.error(f"Error in performance measurement for {operation}: {e}")
raise
def _get_memory_usage(self) -> int:
"""Get current memory usage (simplified)"""
try:
import psutil
return psutil.Process().memory_info().rss
except ImportError:
return 0
def get_average_performance(self) -> PerformanceMetrics | None:
"""Get average performance metrics"""
if not self.metrics:
return None
avg_render_time = sum(m.render_time for m in self.metrics) / len(self.metrics)
avg_memory = sum(m.memory_usage for m in self.metrics) / len(self.metrics)
avg_fps = sum(m.scroll_fps for m in self.metrics) / len(self.metrics)
return PerformanceMetrics(
render_time=avg_render_time,
item_count=sum(m.item_count for m in self.metrics),
visible_items=sum(m.visible_items for m in self.metrics),
memory_usage=int(avg_memory),
scroll_fps=avg_fps,
)
class EnhancedUIManager:
"""Enhanced UI manager with performance optimizations"""
def __init__(self):
self.virtual_scroll = VirtualScrollManager(ViewportConfig())
self.image_loader = LazyImageLoader()
self.performance_optimizer = PerformanceOptimizer()
self.cached_data: dict[str, Any] = {}
self.cache_ttl = 300 # 5 minutes
async def get_tracks_paginated(
self, offset: int = 0, limit: int = 50, filters: dict[str, Any] = None
) -> dict[str, Any]:
"""Get tracks with pagination and caching"""
cache_key = f"tracks_{offset}_{limit}_{json.dumps(filters or {})}"
# Check cache
if cache_key in self.cached_data:
cached_time, cached_data = self.cached_data[cache_key]
if time.time() - cached_time < self.cache_ttl:
return cached_data
# Fetch from database
try:
with get_db_connection() as conn:
query = """
SELECT t.trackhash, t.title, t.artists, t.album, t.duration,
t.bitrate, t.image, t.folderpath, t.filename
FROM tracks t
"""
conditions = []
params = []
if filters:
if "artist" in filters:
conditions.append("t.artists LIKE ?")
params.append(f"%{filters['artist']}%")
if "album" in filters:
conditions.append("t.album LIKE ?")
params.append(f"%{filters['album']}%")
if "genre" in filters:
# Would need genre table join
pass
if conditions:
query += " WHERE " + " AND ".join(conditions)
query += " ORDER BY t.artists, t.album, t.tracknumber LIMIT ? OFFSET ?"
params.extend([limit, offset])
cursor = conn.execute(query, params)
tracks = cursor.fetchall()
# Get total count
count_query = "SELECT COUNT(*) FROM tracks t"
if conditions:
count_query += " WHERE " + " AND ".join(conditions)
cursor = conn.execute(count_query, params[:-2]) # Exclude limit/offset
total_count = cursor.fetchone()[0]
result = {
"tracks": [dict(track) for track in tracks],
"total": total_count,
"offset": offset,
"limit": limit,
}
# Cache result
self.cached_data[cache_key] = (time.time(), result)
return result
except Exception as e:
logger.error(f"Error fetching tracks: {e}")
return {"tracks": [], "total": 0, "offset": offset, "limit": limit}
def create_virtual_items(self, tracks: list[dict[str, Any]]) -> list[VirtualItem]:
"""Create virtual items from track data"""
items = []
for i, track in enumerate(tracks):
item = VirtualItem(
id=track["trackhash"],
item_type=ItemType.TRACK,
title=track["title"],
subtitle=f"{track['artists']} • {track['album']}",
image_url=track.get("image"),
data=track,
index=i,
)
items.append(item)
return items
def optimize_scroll_performance(self, scroll_callback: Callable):
"""Optimize scroll performance with throttling"""
def optimized_scroll(scroll_top: int):
self.performance_optimizer.throttle(
"scroll",
lambda: self._handle_scroll(scroll_top, scroll_callback),
0.016, # 60fps
)
return optimized_scroll
def _handle_scroll(self, scroll_top: int, callback: Callable):
"""Handle scroll with virtual scrolling"""
self.virtual_scroll.update_scroll_position(scroll_top)
callback()
def preload_nearby_images(self, visible_items: list[VirtualItem]):
"""Preload images for visible and nearby items"""
image_urls = []
for item in visible_items:
if item.image_url:
image_urls.append(item.image_url)
# Add nearby items for smoother scrolling
start = max(0, self.virtual_scroll.visible_start - 5)
end = min(len(self.virtual_scroll.items), self.virtual_scroll.visible_end + 5)
for item in self.virtual_scroll.items[start:end]:
if item.image_url and item.image_url not in image_urls:
image_urls.append(item.image_url)
self.image_loader.preload_images(image_urls)
def clear_cache(self):
"""Clear all caches"""
self.cached_data.clear()
self.image_loader.loaded_images.clear()
self.image_loader.failed_images.clear()
def get_performance_report(self) -> dict[str, Any]:
"""Get performance report"""
avg_metrics = self.performance_optimizer.get_average_performance()
return {
"average_render_time": avg_metrics.render_time if avg_metrics else 0,
"average_fps": avg_metrics.scroll_fps if avg_metrics else 0,
"memory_usage": avg_metrics.memory_usage if avg_metrics else 0,
"cached_items": len(self.cached_data),
"loaded_images": len(self.image_loader.loaded_images),
"failed_images": len(self.image_loader.failed_images),
"virtual_items": len(self.virtual_scroll.items),
"visible_items": len(self.virtual_scroll.get_visible_items()),
}
# Global enhanced UI manager instance
enhanced_ui_manager = EnhancedUIManager()
swingmusic/services/ios_audio_compatibility.py
+256
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@@ -0,0 +1,256 @@
"""
iOS Audio Compatibility Service for SwingMusic
Handles iOS-specific audio playback issues and format compatibility
"""
import os
import re
import subprocess
import tempfile
from dataclasses import dataclass
from pathlib import Path
from typing import Any
from swingmusic import logger
from swingmusic.utils.files import guess_mime_type
@dataclass
class IOSAudioCapabilities:
"""iOS device audio capabilities"""
is_safari: bool
is_ios: bool
supports_flac: bool
supports_webm: bool
supports_alac: bool
supports_aac: bool
user_agent: str
optimal_format: str
optimal_codec: str
class IOSAudioManager:
"""Manages iOS audio compatibility and transcoding"""
def __init__(self):
self.temp_dir = tempfile.gettempdir()
self.transcode_cache = {}
def detect_ios_capabilities(self, user_agent: str = "") -> IOSAudioCapabilities:
"""Detect iOS device capabilities from user agent"""
is_safari = "Safari" in user_agent and "Chrome" not in user_agent
is_ios = bool(re.search(r"iPad|iPhone|iPod", user_agent))
# iOS format support matrix
supports_flac = False # iOS doesn't support FLAC natively
supports_webm = False # Limited WebM support on iOS
supports_alac = True # Apple Lossless supported on iOS
supports_aac = True # AAC widely supported
# Determine optimal format for iOS
if is_ios:
if supports_alac:
optimal_format = "mp4" # ALAC in MP4 container
optimal_codec = "alac"
else:
optimal_format = "mp4" # AAC in MP4 container
optimal_codec = "aac"
else:
optimal_format = "flac" # Use original format for non-iOS
optimal_codec = "flac"
return IOSAudioCapabilities(
is_safari=is_safari,
is_ios=is_ios,
supports_flac=supports_flac,
supports_webm=supports_webm,
supports_alac=supports_alac,
supports_aac=supports_aac,
user_agent=user_agent,
optimal_format=optimal_format,
optimal_codec=optimal_codec,
)
def needs_transcoding(
self, file_path: str, capabilities: IOSAudioCapabilities
) -> bool:
"""Check if file needs transcoding for iOS compatibility"""
if not capabilities.is_ios:
return False
original_mime = guess_mime_type(file_path)
# iOS doesn't support FLAC, need transcoding
if original_mime == "audio/flac" and not capabilities.supports_flac:
return True
# iOS has limited WebM support
return bool(original_mime == "audio/webm" and not capabilities.supports_webm)
def get_optimal_audio_format(
self, file_path: str, capabilities: IOSAudioCapabilities
) -> tuple[str, str]:
"""Get optimal audio format and codec for the device"""
if not capabilities.is_ios:
# Return original format for non-iOS devices
original_mime = guess_mime_type(file_path)
if original_mime == "audio/flac":
return "flac", "flac"
elif original_mime == "audio/mpeg":
return "mp3", "mp3"
else:
return "mp4", "aac"
# Return iOS-optimized format
return capabilities.optimal_format, capabilities.optimal_codec
def transcode_for_ios(
self, file_path: str, capabilities: IOSAudioCapabilities, quality: str = "high"
) -> str | None:
"""Transcode audio file for iOS compatibility"""
try:
# Check if already transcoded
cache_key = f"{file_path}_{capabilities.optimal_format}_{quality}"
if cache_key in self.transcode_cache:
cached_file = self.transcode_cache[cache_key]
if os.path.exists(cached_file):
return cached_file
# Create output file path
input_path = Path(file_path)
output_filename = f"{input_path.stem}_ios_{capabilities.optimal_format}.{capabilities.optimal_format}"
output_path = os.path.join(self.temp_dir, output_filename)
# Prepare FFmpeg command based on target format
if capabilities.optimal_codec == "alac":
# Apple Lossless Audio Codec
cmd = [
"ffmpeg",
"-i",
file_path,
"-c:a",
"alac",
"-ar",
"44100", # Sample rate
"-ac",
"2", # Stereo
"-y",
output_path,
]
elif capabilities.optimal_codec == "aac":
# AAC codec with quality settings
bitrate_map = {
"low": "96k",
"medium": "128k",
"high": "256k",
"lossless": "320k",
}
bitrate = bitrate_map.get(quality, "256k")
cmd = [
"ffmpeg",
"-i",
file_path,
"-c:a",
"aac",
"-b:a",
bitrate,
"-ar",
"44100",
"-ac",
"2",
"-y",
output_path,
]
else:
# Default to AAC
cmd = [
"ffmpeg",
"-i",
file_path,
"-c:a",
"aac",
"-b:a",
"256k",
"-ar",
"44100",
"-ac",
"2",
"-y",
output_path,
]
# Execute transcoding
result = subprocess.run(cmd, capture_output=True, text=True)
if result.returncode == 0 and os.path.exists(output_path):
# Cache the transcoded file
self.transcode_cache[cache_key] = output_path
logger.info(
f"Successfully transcoded {file_path} for iOS: {output_path}"
)
return output_path
else:
logger.error(f"FFmpeg transcoding failed: {result.stderr}")
return None
except Exception as e:
logger.error(f"Error transcoding for iOS: {e}")
return None
def get_ios_compatible_mime_type(
self, file_path: str, capabilities: IOSAudioCapabilities
) -> str:
"""Get iOS-compatible MIME type"""
if not capabilities.is_ios:
return guess_mime_type(file_path)
if capabilities.optimal_format == "mp4":
if capabilities.optimal_codec == "alac":
return "audio/mp4" # ALAC in MP4 container
else:
return "audio/mp4" # AAC in MP4 container
elif capabilities.optimal_format == "mp3":
return "audio/mpeg"
else:
return "audio/mp4" # Default to MP4 container for iOS
def create_ios_audio_source(
self, file_path: str, capabilities: IOSAudioCapabilities, quality: str = "high"
) -> dict[str, Any]:
"""Create iOS-compatible audio source configuration"""
source_config = {
"file_path": file_path,
"needs_transcoding": self.needs_transcoding(file_path, capabilities),
"mime_type": self.get_ios_compatible_mime_type(file_path, capabilities),
"format": capabilities.optimal_format,
"codec": capabilities.optimal_codec,
}
if source_config["needs_transcoding"]:
transcoded_path = self.transcode_for_ios(file_path, capabilities, quality)
if transcoded_path:
source_config["transcoded_path"] = transcoded_path
source_config["file_path"] = transcoded_path
else:
# Fallback to original file if transcoding fails
logger.warning(f"Transcoding failed, using original file: {file_path}")
source_config["needs_transcoding"] = False
source_config["mime_type"] = guess_mime_type(file_path)
return source_config
def cleanup_transcoded_files(self):
"""Clean up temporary transcoded files"""
try:
for cached_file in self.transcode_cache.values():
if os.path.exists(cached_file):
os.remove(cached_file)
self.transcode_cache.clear()
except Exception as e:
logger.error(f"Error cleaning up transcoded files: {e}")
# Global iOS audio manager instance
ios_audio_manager = IOSAudioManager()
swingmusic/services/library_integration.py
+342
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@@ -0,0 +1,342 @@
"""
Library integration service for Spotify downloads
Handles automatic addition of downloaded tracks to SwingMusic library
"""
import hashlib
import logging
import os
from datetime import datetime
from typing import Any
from swingmusic.config import UserConfig
from swingmusic.db.engine import DbEngine
from swingmusic.db.libdata import TrackTable
from swingmusic.services.cache_invalidation import (
on_track_deleted,
on_track_inserted,
on_track_updated,
)
logger = logging.getLogger(__name__)
class LibraryIntegrator:
"""Handles integration of downloaded tracks into SwingMusic library"""
def __init__(self):
self.config = UserConfig()
self.music_dirs = self.config.rootDirs
def add_downloaded_track(self, download_item: dict[str, Any]) -> bool:
"""
Add a downloaded track to the SwingMusic library
Args:
download_item: Dictionary containing download information
Returns:
bool: True if successfully added, False otherwise
"""
try:
if not download_item.get("file_path") or not os.path.exists(
download_item["file_path"]
):
logger.error(
f"Downloaded file not found: {download_item.get('file_path')}"
)
return False
# Check if track already exists in library
if self._track_exists(download_item["file_path"]):
logger.info(
f"Track already exists in library: {download_item['file_path']}"
)
return True
# Create track record
track_data = self._create_track_data(download_item)
# Insert into database
self._insert_track(track_data)
logger.info(
f"Added track to library: {track_data['title']} by {track_data['artists']}"
)
return True
except Exception as e:
logger.error(f"Error adding track to library: {e}")
return False
def add_downloaded_album(
self, download_item: dict[str, Any], track_files: list[str]
) -> int:
"""
Add all tracks from a downloaded album to the library
Args:
download_item: Album download information
track_files: List of downloaded track file paths
Returns:
int: Number of tracks successfully added
"""
added_count = 0
try:
for track_file in track_files:
if not os.path.exists(track_file):
logger.warning(f"Track file not found: {track_file}")
continue
# Check if track already exists
if self._track_exists(track_file):
logger.info(f"Track already exists in library: {track_file}")
added_count += 1
continue
# Create track data for album track
track_data = self._create_album_track_data(download_item, track_file)
# Insert into database
self._insert_track(track_data)
added_count += 1
logger.info(f"Added {added_count} tracks from album to library")
return added_count
except Exception as e:
logger.error(f"Error adding album to library: {e}")
return added_count
def _track_exists(self, filepath: str) -> bool:
"""Check if track already exists in library"""
try:
with DbEngine.manager() as conn:
result = conn.execute(
TrackTable.select().where(TrackTable.filepath == filepath)
)
return result.scalar() is not None
except Exception as e:
logger.error(f"Error checking if track exists: {e}")
return False
def _create_track_data(self, download_item: dict[str, Any]) -> dict[str, Any]:
"""Create track data dictionary from download item"""
filepath = download_item["file_path"]
file_stat = os.stat(filepath)
# Extract metadata from download item
title = download_item.get("title", "Unknown Title")
artist = download_item.get("artist", "Unknown Artist")
album = download_item.get("album", "Unknown Album")
# Generate hashes
trackhash = self._generate_track_hash(filepath, title, artist)
albumhash = self._generate_album_hash(album, artist)
# Extract file information
folder = os.path.basename(os.path.dirname(filepath))
return {
"title": title,
"artists": artist,
"albumartists": artist,
"album": album,
"albumhash": albumhash,
"trackhash": trackhash,
"filepath": filepath,
"folder": folder,
"duration": download_item.get("duration_ms", 0)
// 1000, # Convert to seconds
"bitrate": self._get_bitrate_from_quality(
download_item.get("quality", "flac")
),
"date": self._parse_date(download_item.get("release_date")),
"track": download_item.get("track_number", 1),
"disc": 1,
"last_mod": int(file_stat.st_mtime),
"extra": {
"spotify_id": download_item.get("spotify_id"),
"source": download_item.get("source", "spotify"),
"download_date": datetime.now().isoformat(),
},
}
def _create_album_track_data(
self, download_item: dict[str, Any], track_file: str
) -> dict[str, Any]:
"""Create track data for album track"""
file_stat = os.stat(track_file)
# Extract filename for title (if metadata not available)
filename = os.path.splitext(os.path.basename(track_file))[0]
# Use download item metadata as base
title = download_item.get("title", filename)
artist = download_item.get("artist", "Unknown Artist")
album = download_item.get("album", "Unknown Album")
# Generate hashes
trackhash = self._generate_track_hash(track_file, title, artist)
albumhash = self._generate_album_hash(album, artist)
# Extract file information
folder = os.path.basename(os.path.dirname(track_file))
return {
"title": title,
"artists": artist,
"albumartists": artist,
"album": album,
"albumhash": albumhash,
"trackhash": trackhash,
"filepath": track_file,
"folder": folder,
"duration": download_item.get("duration_ms", 0) // 1000,
"bitrate": self._get_bitrate_from_quality(
download_item.get("quality", "flac")
),
"date": self._parse_date(download_item.get("release_date")),
"track": download_item.get("track_number", 1),
"disc": 1,
"last_mod": int(file_stat.st_mtime),
"extra": {
"spotify_id": download_item.get("spotify_id"),
"source": download_item.get("source", "spotify"),
"download_date": datetime.now().isoformat(),
"album_download": True,
},
}
def _insert_track(self, track_data: dict[str, Any]):
"""Insert track into database"""
try:
with DbEngine.manager(commit=True) as conn:
conn.execute(TrackTable.insert().values(track_data))
# Invalidate cache for the new track
trackhash = track_data.get("trackhash")
if trackhash:
on_track_inserted(trackhash)
except Exception as e:
logger.error(f"Error inserting track: {e}")
raise
def _generate_track_hash(self, filepath: str, title: str, artist: str) -> str:
"""Generate unique track hash"""
content = f"{filepath}:{title}:{artist}"
return hashlib.md5(content.encode()).hexdigest()
def _generate_album_hash(self, album: str, artist: str) -> str:
"""Generate album hash"""
content = f"{album}:{artist}"
return hashlib.md5(content.encode()).hexdigest()
def _get_bitrate_from_quality(self, quality: str) -> int:
"""Get approximate bitrate based on quality"""
quality_bitrates = {
"flac": 1411, # Approximate FLAC bitrate
"mp3_320": 320,
"mp3_128": 128,
}
return quality_bitrates.get(quality, 320)
def _parse_date(self, date_str: str | None) -> int | None:
"""Parse date string to timestamp"""
if not date_str:
return None
try:
# Try various date formats
formats = ["%Y-%m-%d", "%Y", "%Y-%m"]
for fmt in formats:
try:
dt = datetime.strptime(date_str, fmt)
return int(dt.timestamp())
except ValueError:
continue
return None
except Exception:
return None
def remove_downloaded_track(self, filepath: str) -> bool:
"""
Remove a downloaded track from the library
Args:
filepath: Path to the track file
Returns:
bool: True if successfully removed
"""
try:
# Get trackhash before deletion for cache invalidation
trackhash = None
with DbEngine.manager() as conn:
result = conn.execute(
TrackTable.select().where(TrackTable.filepath == filepath)
)
row = result.scalar()
if row:
trackhash = row.trackhash
with DbEngine.manager(commit=True) as conn:
result = conn.execute(
TrackTable.delete().where(TrackTable.filepath == filepath)
)
success = result.rowcount > 0
# Invalidate cache after deletion
if success and trackhash:
on_track_deleted(trackhash)
return success
except Exception as e:
logger.error(f"Error removing track from library: {e}")
return False
def update_track_metadata(self, filepath: str, metadata: dict[str, Any]) -> bool:
"""
Update metadata for a track in the library
Args:
filepath: Path to the track file
metadata: New metadata to apply
Returns:
bool: True if successfully updated
"""
try:
# Get trackhash before update for cache invalidation
trackhash = None
with DbEngine.manager() as conn:
result = conn.execute(
TrackTable.select().where(TrackTable.filepath == filepath)
)
row = result.scalar()
if row:
trackhash = row.trackhash
with DbEngine.manager(commit=True) as conn:
result = conn.execute(
TrackTable.update()
.where(TrackTable.filepath == filepath)
.values(metadata)
)
success = result.rowcount > 0
# Invalidate cache after update
if success and trackhash:
on_track_updated(trackhash)
return success
except Exception as e:
logger.error(f"Error updating track metadata: {e}")
return False
# Global instance
library_integrator = LibraryIntegrator()
swingmusic/services/library_projection.py
+367
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from __future__ import annotations
import os
import time
from typing import Any
from sqlalchemy import func, select
from swingmusic.config import UserConfig
from swingmusic.db.engine import DbEngine
from swingmusic.db.libdata import TrackTable
from swingmusic.db.production import (
LibraryFileTable,
UserLibraryTrackTable,
UserRootDirOwnershipTable,
)
from swingmusic.db.userdata import UserTable
from swingmusic.utils.auth import get_current_userid
TRACK_AVAILABLE = "available"
TRACK_MISSING = "missing"
TRACK_QUEUED = "queued"
TRACK_FAILED = "failed"
VALID_TRACK_STATES = {TRACK_AVAILABLE, TRACK_MISSING, TRACK_QUEUED, TRACK_FAILED}
def _infer_codec(filepath: str) -> str:
ext = os.path.splitext(filepath)[1].lower().lstrip(".")
return ext or "unknown"
def _infer_quality_from_bitrate(bitrate: int) -> str:
if bitrate >= 1400:
return "lossless"
if bitrate >= 256:
return "high"
if bitrate >= 160:
return "medium"
return "low"
def get_owner_user() -> Any | None:
users = list(UserTable.get_all())
if not users:
return None
owners = [u for u in users if "owner" in u.roles]
if owners:
return owners[0]
admins = [u for u in users if "admin" in u.roles]
if admins:
owner = admins[0]
roles = list(dict.fromkeys([*owner.roles, "owner"]))
UserTable.update_one({"id": owner.id, "roles": roles})
return UserTable.get_by_id(owner.id)
fallback = users[0]
roles = list(dict.fromkeys([*fallback.roles, "admin", "owner"]))
UserTable.update_one({"id": fallback.id, "roles": roles})
return UserTable.get_by_id(fallback.id)
def sync_library_files_from_index() -> None:
for track in TrackTable.get_all():
LibraryFileTable.upsert_from_local_track(
trackhash=track.trackhash,
filepath=track.filepath,
bitrate=track.bitrate,
codec=_infer_codec(track.filepath),
quality=_infer_quality_from_bitrate(track.bitrate),
source="local",
)
def sync_owner_projection(owner_user_id: int | None = None) -> None:
owner = UserTable.get_by_id(owner_user_id) if owner_user_id else get_owner_user()
if not owner:
return
sync_library_files_from_index()
for track in TrackTable.get_all():
file_row = LibraryFileTable.get_by_trackhash(track.trackhash)
UserLibraryTrackTable.upsert_status(
userid=owner.id,
trackhash=track.trackhash,
status=TRACK_AVAILABLE,
file_id=file_row.id if file_row else None,
extra={"source": "migration", "updated_from": "local_scan"},
)
root_dirs = UserConfig().rootDirs or []
UserRootDirOwnershipTable.assign_paths(owner.id, root_dirs)
def ensure_projection_for_user(userid: int, trackhashes: list[str] | set[str]) -> None:
trackhashes = set(trackhashes)
if not trackhashes:
return
existing = UserLibraryTrackTable.get_status_map(userid, trackhashes)
for trackhash in trackhashes:
if trackhash in existing:
continue
file_row = LibraryFileTable.get_by_trackhash(trackhash)
UserLibraryTrackTable.upsert_status(
userid=userid,
trackhash=trackhash,
status=TRACK_MISSING,
file_id=file_row.id if file_row else None,
extra={"projection": "auto_created"},
)
def get_import_candidate_counts(
userid: int, trackhashes: list[str] | set[str]
) -> dict[str, int]:
trackhashes = set(trackhashes)
if not trackhashes:
return {}
with DbEngine.manager() as conn:
result = conn.execute(
select(
UserLibraryTrackTable.trackhash,
func.count(UserLibraryTrackTable.id).label("count"),
)
.where(UserLibraryTrackTable.trackhash.in_(trackhashes))
.where(UserLibraryTrackTable.userid != userid)
.where(UserLibraryTrackTable.status == TRACK_AVAILABLE)
.group_by(UserLibraryTrackTable.trackhash)
)
rows = result.fetchall()
return {row.trackhash: int(row.count) for row in rows}
def _state_to_action(state: str, candidate_count: int) -> dict[str, Any]:
if state == TRACK_AVAILABLE:
return {"type": "none", "label": "Available", "enabled": False}
if state == TRACK_QUEUED:
return {"type": "queued", "label": "Queued", "enabled": False}
if state == TRACK_FAILED:
return {"type": "retry", "label": "Retry download", "enabled": True}
if candidate_count > 0:
return {
"type": "import_or_download",
"label": "Import or download",
"enabled": True,
}
return {"type": "download", "label": "Download", "enabled": True}
def _import_action(state: str, candidate_count: int) -> dict[str, Any]:
enabled = candidate_count > 0 and state != TRACK_AVAILABLE
return {
"type": "import",
"label": "Import existing",
"enabled": enabled,
}
def _quality_badge(quality: str | None) -> dict[str, str]:
quality = (quality or "unknown").lower()
mapping = {
"lossless": {"label": "Lossless", "color": "green"},
"high": {"label": "High", "color": "blue"},
"medium": {"label": "Medium", "color": "orange"},
"low": {"label": "Low", "color": "gray"},
"unknown": {"label": "Unknown", "color": "gray"},
}
return mapping.get(quality, mapping["unknown"])
def get_track_availability_map(
trackhashes: list[str] | set[str],
userid: int | None = None,
) -> dict[str, dict[str, Any]]:
userid = userid or get_current_userid()
trackhashes = set(trackhashes)
if not trackhashes:
return {}
ensure_projection_for_user(userid, trackhashes)
status_rows = UserLibraryTrackTable.get_status_map(userid, trackhashes)
candidate_counts = get_import_candidate_counts(userid, trackhashes)
file_ids = {row.file_id for row in status_rows.values() if row.file_id}
file_rows: dict[int, Any] = {}
if file_ids:
with DbEngine.manager() as conn:
result = conn.execute(
select(LibraryFileTable).where(LibraryFileTable.id.in_(file_ids))
)
for file_row in result.scalars():
file_rows[file_row.id] = file_row
availability: dict[str, dict[str, Any]] = {}
for trackhash in trackhashes:
row = status_rows.get(trackhash)
state = (
row.status if row and row.status in VALID_TRACK_STATES else TRACK_MISSING
)
candidate_count = candidate_counts.get(trackhash, 0)
file_row = file_rows.get(row.file_id) if row and row.file_id else None
quality = file_row.quality if file_row else None
availability[trackhash] = {
"state": state,
"candidate_count": candidate_count,
"import_available": candidate_count > 0 and state != TRACK_AVAILABLE,
"import_action": _import_action(state, candidate_count),
"download_action": _state_to_action(state, candidate_count),
"quality": quality,
"quality_badge": _quality_badge(quality),
}
return availability
def get_track_availability(trackhash: str, userid: int | None = None) -> dict[str, Any]:
return get_track_availability_map({trackhash}, userid).get(
trackhash,
{
"state": TRACK_MISSING,
"candidate_count": 0,
"import_available": False,
"import_action": _import_action(TRACK_MISSING, 0),
"download_action": _state_to_action(TRACK_MISSING, 0),
"quality": None,
"quality_badge": _quality_badge(None),
},
)
def list_import_candidates(
trackhash: str, userid: int | None = None
) -> list[dict[str, Any]]:
userid = userid or get_current_userid()
with DbEngine.manager() as conn:
result = conn.execute(
select(UserLibraryTrackTable, UserTable)
.join(UserTable, UserTable.id == UserLibraryTrackTable.userid)
.where(UserLibraryTrackTable.trackhash == trackhash)
.where(UserLibraryTrackTable.userid != userid)
.where(UserLibraryTrackTable.status == TRACK_AVAILABLE)
)
rows = result.fetchall()
candidates: list[dict[str, Any]] = []
for projection, user in rows:
candidates.append(
{
"user_id": user.id,
"username": user.username,
"file_id": projection.file_id,
"trackhash": projection.trackhash,
}
)
return candidates
def import_existing_track(
trackhash: str,
*,
userid: int | None = None,
source_userid: int | None = None,
) -> bool:
userid = userid or get_current_userid()
candidates = list_import_candidates(trackhash, userid)
if not candidates:
return False
candidate = candidates[0]
if source_userid is not None:
for item in candidates:
if item["user_id"] == source_userid:
candidate = item
break
file_id = candidate.get("file_id")
UserLibraryTrackTable.upsert_status(
userid=userid,
trackhash=trackhash,
status=TRACK_AVAILABLE,
file_id=file_id,
extra={
"imported_from_user": candidate["user_id"],
"imported_at": int(time.time()),
},
)
return True
def mark_track_queued(
trackhash: str,
*,
job_id: int,
source_url: str | None,
userid: int | None = None,
) -> None:
userid = userid or get_current_userid()
UserLibraryTrackTable.upsert_status(
userid=userid,
trackhash=trackhash,
status=TRACK_QUEUED,
download_job_id=job_id,
source_url=source_url,
extra={"queued_at": int(time.time())},
)
def mark_track_failed(
trackhash: str,
*,
error: str,
job_id: int | None = None,
userid: int | None = None,
) -> None:
userid = userid or get_current_userid()
UserLibraryTrackTable.upsert_status(
userid=userid,
trackhash=trackhash,
status=TRACK_FAILED,
download_job_id=job_id,
error=error,
extra={"failed_at": int(time.time())},
)
def mark_track_available(
trackhash: str,
*,
filepath: str,
bitrate: int,
userid: int | None = None,
source: str = "download",
) -> None:
userid = userid or get_current_userid()
file_row = LibraryFileTable.upsert_from_local_track(
trackhash=trackhash,
filepath=filepath,
bitrate=bitrate,
codec=_infer_codec(filepath),
quality=_infer_quality_from_bitrate(bitrate),
source=source,
)
UserLibraryTrackTable.upsert_status(
userid=userid,
trackhash=trackhash,
status=TRACK_AVAILABLE,
file_id=file_row.id if file_row else None,
error=None,
extra={"available_at": int(time.time())},
)
swingmusic/services/lyrics_backfill.py
+226
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@@ -0,0 +1,226 @@
from __future__ import annotations
import os
import shutil
import subprocess
import tempfile
import threading
from pathlib import Path
from swingmusic.db.libdata import TrackTable
from swingmusic.db.production import LyricsStatusTable
from swingmusic.lib.lyrics import get_lyrics_from_tags
from swingmusic.plugins.lyrics import Lyrics
SUPPORTED_EMBED_EXTENSIONS = {
".mp3",
".flac",
".m4a",
".aac",
".ogg",
".opus",
}
def _read_lrc(filepath: str) -> str | None:
lrc_path = Path(filepath).with_suffix(".lrc")
if not lrc_path.exists():
return None
try:
return lrc_path.read_text(encoding="utf-8")
except Exception:
return None
def _has_embedded_lyrics(trackhash: str | None) -> bool:
if not trackhash:
return False
try:
lyrics = get_lyrics_from_tags(trackhash)
return bool(lyrics)
except Exception:
return False
def _embed_lyrics_with_ffmpeg(filepath: str, lyrics_text: str) -> bool:
source = Path(filepath)
if source.suffix.lower() not in SUPPORTED_EMBED_EXTENSIONS:
return False
if not shutil.which("ffmpeg"):
return False
if not lyrics_text or not lyrics_text.strip():
return False
temp_dir = tempfile.mkdtemp(prefix="swingmusic-lyrics-")
temp_path = Path(temp_dir) / source.name
command = [
"ffmpeg",
"-y",
"-i",
str(source),
"-map",
"0",
"-c",
"copy",
"-metadata",
f"lyrics={lyrics_text}",
str(temp_path),
]
try:
process = subprocess.run(
command,
capture_output=True,
text=True,
check=False,
)
if process.returncode != 0 or not temp_path.exists():
return False
os.replace(temp_path, source)
return True
except Exception:
return False
finally:
shutil.rmtree(temp_dir, ignore_errors=True)
def backfill_lyrics_for_track(
*,
filepath: str,
title: str | None,
artist: str | None,
album: str | None = None,
trackhash: str | None = None,
) -> None:
if not filepath:
return
if not os.path.exists(filepath):
if trackhash:
LyricsStatusTable.upsert(
trackhash=trackhash,
filepath=filepath,
status="failed",
source="download",
last_error="audio_file_missing",
increment_attempt=True,
)
return
has_embedded = _has_embedded_lyrics(trackhash)
lrc_text = _read_lrc(filepath)
# Keep existing embedded lyrics as canonical when present.
if has_embedded and trackhash:
LyricsStatusTable.upsert(
trackhash=trackhash,
filepath=filepath,
status="embedded",
source="tags",
has_embedded=True,
has_lrc=bool(lrc_text),
last_error=None,
extra={"strategy": "existing_embedded"},
)
return
if not lrc_text and title and artist:
try:
plugin = Lyrics()
if getattr(plugin, "enabled", False):
lrc_text = plugin.download_lyrics_by_metadata(
title=title,
artist=artist,
album=album or "",
path=filepath,
)
except Exception as error:
if trackhash:
LyricsStatusTable.upsert(
trackhash=trackhash,
filepath=filepath,
status="failed",
source="download",
has_embedded=False,
has_lrc=False,
last_error=str(error),
increment_attempt=True,
)
return
if not lrc_text:
if trackhash:
LyricsStatusTable.upsert(
trackhash=trackhash,
filepath=filepath,
status="missing",
source="download",
has_embedded=False,
has_lrc=False,
last_error="lyrics_not_found",
increment_attempt=True,
)
return
embedded = _embed_lyrics_with_ffmpeg(filepath, lrc_text)
if trackhash:
LyricsStatusTable.upsert(
trackhash=trackhash,
filepath=filepath,
status="embedded" if embedded else "lrc",
source="download",
has_embedded=embedded,
has_lrc=True,
last_error=None,
extra={"strategy": "embed_and_lrc"},
increment_attempt=True,
)
def backfill_lyrics_async(
*,
filepath: str,
title: str | None,
artist: str | None,
album: str | None = None,
trackhash: str | None = None,
) -> None:
if not filepath:
return
thread = threading.Thread(
target=backfill_lyrics_for_track,
kwargs={
"filepath": filepath,
"title": title,
"artist": artist,
"album": album,
"trackhash": trackhash,
},
daemon=True,
name="lyrics-backfill",
)
thread.start()
def _backfill_library_worker():
for track in TrackTable.get_all():
backfill_lyrics_for_track(
filepath=track.filepath,
title=track.title,
artist=track.artists[0]["name"] if track.artists else "",
album=track.album,
trackhash=track.trackhash,
)
def backfill_library_async() -> None:
thread = threading.Thread(
target=_backfill_library_worker,
daemon=True,
name="lyrics-library-backfill",
)
thread.start()
swingmusic/services/metadata_aggregator.py
+324
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@@ -0,0 +1,324 @@
"""
Enhanced Metadata Aggregation System for Universal Music Downloader
Provides cross-service matching and metadata enrichment without API keys
"""
import logging
import re
from dataclasses import dataclass
from typing import Any
logger = logging.getLogger(__name__)
@dataclass
class CrossServiceMatch:
"""Cross-service song match information"""
service: str
service_id: str
title: str
artist: str
url: str
confidence: float
isrc: str | None = None
duration_ms: int | None = None
release_date: str | None = None
cover_art: str | None = None
@dataclass
class EnhancedMetadata:
"""Enhanced metadata with cross-service information"""
primary_metadata: Any
cross_matches: list[CrossServiceMatch]
canonical_info: dict[str, Any] | None = None
confidence_score: float = 0.0
recommendations: list[str] = None
class MetadataAggregator:
"""Aggregates and enhances metadata from multiple sources"""
def __init__(self):
self.canonical_cache = {}
self.artist_aliases = {}
def normalize_title(self, title: str) -> str:
"""Normalize song title for better matching"""
# Remove extra whitespace and convert to lowercase
normalized = title.strip().lower()
# Remove common prefixes and suffixes
prefixes_to_remove = [
"official video",
"official audio",
"lyrics",
"live",
"acoustic",
"remastered",
]
for prefix in prefixes_to_remove:
normalized = re.sub(rf"\s*{prefix}\s*", "", normalized, flags=re.IGNORECASE)
# Remove content in parentheses
normalized = re.sub(r"\s*\([^)]*\)\s*", "", normalized)
# Remove extra dashes and special characters
normalized = re.sub(r"\s*[-–—]\s*", " ", normalized)
return normalized.strip()
def normalize_artist(self, artist: str) -> str:
"""Normalize artist name for better matching"""
normalized = artist.strip().lower()
# Remove "feat." and similar
normalized = re.sub(r"\s*feat\.\s*", " feat. ", normalized)
# Handle "vs" collaborations
normalized = re.sub(r"\s+vs\s+", " vs ", normalized)
return normalized.strip()
def calculate_similarity_score(
self, title1: str, artist1: str, title2: str, artist2: str
) -> float:
"""Calculate similarity score between two songs"""
title_score = 0.0
artist_score = 0.0
# Title similarity
if title1 and title2:
norm_title1 = self.normalize_title(title1)
norm_title2 = self.normalize_title(title2)
if norm_title1 == norm_title2:
title_score = 1.0
elif norm_title1 in norm_title2 or norm_title2 in norm_title1:
title_score = 0.8
else:
# Partial match based on words
words1 = set(norm_title1.split())
words2 = set(norm_title2.split())
common_words = words1.intersection(words2)
title_score = (
len(common_words) / max(len(words1), len(words2))
if words1 and words2
else 0.0
)
# Artist similarity
if artist1 and artist2:
norm_artist1 = self.normalize_artist(artist1)
norm_artist2 = self.normalize_artist(artist2)
if norm_artist1 == norm_artist2:
artist_score = 1.0
elif norm_artist1 in norm_artist2 or norm_artist2 in norm_artist1:
artist_score = 0.8
else:
# Partial match based on words
words1 = set(norm_artist1.split())
words2 = set(norm_artist2.split())
common_words = words1.intersection(words2)
artist_score = (
len(common_words) / max(len(words1), len(words2))
if words1 and words2
else 0.0
)
# Combined score (title is more important)
return title_score * 0.7 + artist_score * 0.3
def find_cross_service_matches(
self, primary_metadata: Any, all_services_data: dict[str, Any]
) -> list[CrossServiceMatch]:
"""Find matches of the same song across other services"""
matches = []
if not primary_metadata:
return matches
primary_title = getattr(primary_metadata, "title", "")
primary_artist = getattr(primary_metadata, "artist", "")
getattr(primary_metadata, "isrc", None)
for service, data in all_services_data.items():
service_attr = getattr(primary_metadata, "service", None)
if service_attr and service == service_attr.value:
continue # Skip: same service
service_title = getattr(data, "title", "")
service_artist = getattr(data, "artist", "")
service_url = getattr(data, "original_url", "")
# Calculate similarity score
similarity = self.calculate_similarity_score(
primary_title, primary_artist, service_title, service_artist
)
# Only include matches with reasonable similarity
if similarity >= 0.6: # 60% similarity threshold
match = CrossServiceMatch(
service=service,
service_id=getattr(data, "service_id", ""),
title=service_title,
artist=service_artist,
url=service_url,
confidence=similarity,
isrc=getattr(data, "isrc", None),
duration_ms=getattr(data, "duration_ms", None),
release_date=getattr(data, "release_date", None),
cover_art=getattr(data, "image_url", None),
)
matches.append(match)
# Sort by confidence score
matches.sort(key=lambda x: x.confidence, reverse=True)
return matches
def get_canonical_info(self, isrc: str) -> dict[str, Any] | None:
"""Get canonical information from ISRC"""
if not isrc or len(isrc) != 12:
return None
# Parse ISRC: Country-Registration Year-Sequence Number
country = isrc[:2]
year = isrc[2:6]
sequence = isrc[6:]
return {
"isrc": isrc,
"country": country,
"year": year,
"sequence": sequence,
"type": "recording" if sequence.isdigit() else "other",
}
def generate_recommendations(
self, metadata: Any, cross_matches: list[CrossServiceMatch]
) -> list[str]:
"""Generate recommendations based on metadata and cross matches"""
recommendations = []
# Base recommendations on genre
genre = getattr(metadata, "genre", "")
if genre:
recommendations.append(f"Similar {genre} tracks")
# Add recommendations from high-confidence cross matches
high_confidence_matches = [m for m in cross_matches if m.confidence >= 0.8]
for match in high_confidence_matches[:3]: # Top 3 matches
recommendations.append(f"Also available on {match.service}")
# Add recommendations based on artist
artist = getattr(metadata, "artist", "")
if artist:
recommendations.append(f"More from {artist}")
return list(set(recommendations)) # Remove duplicates
def create_enhanced_metadata(
self, primary_metadata: Any, cross_matches: list[CrossServiceMatch]
) -> EnhancedMetadata:
"""Create enhanced metadata object"""
# Calculate confidence score
max_confidence = (
max([m.confidence for m in cross_matches]) if cross_matches else 0.0
)
# Get canonical info if ISRC exists
canonical_info = None
isrc = getattr(primary_metadata, "isrc", None)
if isrc:
canonical_info = self.get_canonical_info(isrc)
# Generate recommendations
recommendations = self.generate_recommendations(primary_metadata, cross_matches)
return EnhancedMetadata(
primary_metadata=primary_metadata,
cross_matches=cross_matches,
canonical_info=canonical_info,
confidence_score=max_confidence,
recommendations=recommendations,
)
class FreeMetadataEnricher:
"""Free metadata enrichment without API keys"""
def __init__(self):
self.aggregator = MetadataAggregator()
def extract_lyrics_snippet(self, title: str, artist: str) -> str:
"""Extract potential lyrics snippet for search enhancement"""
# This would use web scraping of lyrics sites
# For now, return empty to avoid copyright issues
return ""
def detect_language(self, title: str, artist: str) -> str:
"""Detect likely language from title and artist"""
# Simple heuristic based on character patterns
if any(ord(c) > 127 for c in title + artist):
return "non-english"
return "english"
def estimate_mood(self, title: str, artist: str) -> str:
"""Estimate mood from title and artist name"""
title_lower = title.lower()
artist_lower = artist.lower()
mood_keywords = {
"happy": ["love", "joy", "sun", "summer", "dance", "party"],
"sad": ["cry", "tears", "rain", "winter", "goodbye", "broken"],
"energetic": ["rock", "power", "energy", "loud", "fast"],
"calm": ["peace", "quiet", "soft", "gentle", "acoustic"],
"dark": ["dark", "death", "black", "night", "shadow"],
}
for mood, keywords in mood_keywords.items():
if any(
keyword in title_lower or keyword in artist_lower
for keyword in keywords
):
return mood
return "neutral"
def calculate_quality_score(self, metadata: Any) -> float:
"""Calculate metadata quality score"""
score = 0.0
# Check for ISRC (high quality indicator)
if getattr(metadata, "isrc", None):
score += 0.3
# Check for release date
if getattr(metadata, "release_date", None):
score += 0.2
# Check for genre information
if getattr(metadata, "genre", None):
score += 0.2
# Check for cover art
if getattr(metadata, "image_url", None):
score += 0.1
# Check for duration
if getattr(metadata, "duration_ms", None):
score += 0.1
# Check for extended metadata
if getattr(metadata, "metadata", None):
score += 0.1
return min(score, 1.0)
# Global instances
metadata_aggregator = MetadataAggregator()
free_enricher = FreeMetadataEnricher()
swingmusic/services/mobile_offline_service.py
+938
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from __future__ import annotations
import hashlib
import json
import logging
import threading
import time
import uuid
from dataclasses import dataclass
from enum import StrEnum
from pathlib import Path
from typing import Any
# DragonflyDB integration for fast sync queue operations
from swingmusic.db.dragonfly_extended_client import get_mobile_sync_service
from swingmusic.db.userdata import PlaylistTable
from swingmusic.settings import Paths
from swingmusic.store.albums import AlbumStore
from swingmusic.store.artists import ArtistStore
from swingmusic.store.tracks import TrackStore
logger = logging.getLogger(__name__)
class SyncStatus(StrEnum):
NOT_SYNCED = "not_synced"
SYNCING = "syncing"
SYNCED = "synced"
SYNC_ERROR = "sync_error"
class OfflineQuality(StrEnum):
SPACE_SAVER = "space_saver"
BALANCED = "balanced"
HIGH_QUALITY = "high_quality"
LOSSLESS = "lossless"
@dataclass(frozen=True)
class StorageUsage:
total_capacity: int
used_space: int
available_space: int
offline_tracks_count: int
offline_tracks_size: int
other_data_size: int
quality_breakdown: dict[str, int]
class MobileOfflineService:
"""Persistent mobile offline state service.
The backend never writes files to the phone filesystem directly. Instead,
it keeps authoritative sync metadata and analytics queues so mobile devices
can stay functional offline and reconcile once online.
"""
def __init__(self) -> None:
self._lock = threading.Lock()
self.base_dir = Paths().config_dir / "mobile_offline"
self.devices_dir = self.base_dir / "devices"
self.offline_dir = self.base_dir / "offline"
self.queue_dir = self.base_dir / "queue"
self.events_dir = self.base_dir / "events"
for directory in (
self.base_dir,
self.devices_dir,
self.offline_dir,
self.queue_dir,
self.events_dir,
):
directory.mkdir(parents=True, exist_ok=True)
def register_device(
self, user_id: int, device_info: dict[str, Any]
) -> dict[str, Any]:
with self._lock:
devices = self._load_devices(user_id)
explicit_id = str(device_info.get("device_id") or "").strip()
device_id = explicit_id or self._generate_device_id(user_id, device_info)
now = self._iso_now()
existing = next(
(d for d in devices if d.get("device_id") == device_id), None
)
if existing:
existing["device_name"] = str(
device_info.get("name")
or existing.get("device_name")
or "Mobile Device"
)
existing["device_type"] = str(
device_info.get("type") or existing.get("device_type") or "unknown"
)
existing["storage_capacity"] = self._to_int(
device_info.get("storage_capacity"),
default=existing.get("storage_capacity", 0),
)
existing["available_storage"] = self._to_int(
device_info.get("available_storage"),
default=existing.get("available_storage", 0),
)
existing["sync_preferences"] = self._merged_preferences(
existing.get("sync_preferences") or {},
device_info.get("preferences") or {},
)
existing["offline_quality"] = self._normalize_quality(
str(
existing["sync_preferences"].get("quality")
or existing.get("offline_quality")
or OfflineQuality.BALANCED.value
)
)
existing["updated_at"] = now
device = existing
else:
preferences = self._merged_preferences(
{}, device_info.get("preferences") or {}
)
quality = self._normalize_quality(
str(preferences.get("quality") or OfflineQuality.BALANCED.value)
)
device = {
"device_id": device_id,
"user_id": user_id,
"device_name": str(device_info.get("name") or "Mobile Device"),
"device_type": str(device_info.get("type") or "unknown"),
"storage_capacity": self._to_int(
device_info.get("storage_capacity"), default=0
),
"available_storage": self._to_int(
device_info.get("available_storage"), default=0
),
"last_sync": None,
"sync_status": SyncStatus.NOT_SYNCED.value,
"offline_quality": quality,
"auto_sync_enabled": bool(preferences.get("auto_sync", True)),
"sync_preferences": preferences,
"created_at": now,
"updated_at": now,
}
devices.append(device)
self._save_devices(user_id, devices)
self._ensure_device_files(device_id)
return self._public_device(device)
def list_devices(self, user_id: int) -> list[dict[str, Any]]:
devices = self._load_devices(user_id)
devices.sort(key=lambda d: d.get("updated_at", ""), reverse=True)
return [self._public_device(device) for device in devices]
def get_device(self, user_id: int, device_id: str) -> dict[str, Any] | None:
devices = self._load_devices(user_id)
device = next((d for d in devices if d.get("device_id") == device_id), None)
if not device:
return None
return self._public_device(device)
def update_device_settings(
self, user_id: int, device_id: str, settings: dict[str, Any]
) -> bool:
with self._lock:
devices = self._load_devices(user_id)
device = next((d for d in devices if d.get("device_id") == device_id), None)
if not device:
return False
if "offline_quality" in settings:
device["offline_quality"] = self._normalize_quality(
str(settings.get("offline_quality") or "")
)
if "auto_sync_enabled" in settings:
device["auto_sync_enabled"] = bool(settings.get("auto_sync_enabled"))
if "storage_capacity" in settings:
device["storage_capacity"] = self._to_int(
settings.get("storage_capacity"),
default=device.get("storage_capacity", 0),
)
if "available_storage" in settings:
device["available_storage"] = self._to_int(
settings.get("available_storage"),
default=device.get("available_storage", 0),
)
if "sync_preferences" in settings and isinstance(
settings["sync_preferences"], dict
):
device["sync_preferences"] = self._merged_preferences(
device.get("sync_preferences") or {},
settings["sync_preferences"],
)
device["updated_at"] = self._iso_now()
self._save_devices(user_id, devices)
return True
def get_offline_library(self, user_id: int, device_id: str) -> dict[str, Any]:
device = self._device_or_none(user_id, device_id)
if not device:
raise ValueError("Device not found")
tracks = self._load_offline_tracks(device_id)
queue = self._load_queue(device_id)
usage = self.get_storage_usage(user_id, device_id)
return {
"device": self._public_device(device),
"offline_tracks": tracks,
"sync_queue": self._queue_summary(queue),
"storage_usage": {
"total_capacity": usage.total_capacity,
"used_space": usage.used_space,
"available_space": usage.available_space,
"offline_tracks_count": usage.offline_tracks_count,
"offline_tracks_size": usage.offline_tracks_size,
"other_data_size": usage.other_data_size,
"quality_breakdown": usage.quality_breakdown,
},
"last_sync": device.get("last_sync"),
"sync_status": device.get("sync_status", SyncStatus.NOT_SYNCED.value),
}
def add_to_offline_library(
self,
user_id: int,
device_id: str,
track_items: list[Any],
quality: str | None = None,
collection: str | None = None,
) -> list[dict[str, Any]]:
with self._lock:
device = self._device_or_none(user_id, device_id)
if not device:
raise ValueError("Device not found")
effective_quality = self._normalize_quality(
quality
or str(device.get("offline_quality") or OfflineQuality.BALANCED.value)
)
now = self._iso_now()
existing_tracks = self._load_offline_tracks(device_id)
by_hash = {
str(item.get("trackhash") or ""): item
for item in existing_tracks
if item.get("trackhash")
}
payloads = self._resolve_track_payloads(track_items)
queue = self._load_queue(device_id)
queue_items: list[dict[str, Any]] = []
for payload in payloads:
trackhash = str(payload.get("trackhash") or "").strip()
if not trackhash:
continue
estimated_size = self._to_int(
payload.get("file_size"),
default=self._estimate_size_bytes(effective_quality),
)
merged = {
"trackhash": trackhash,
"title": str(payload.get("title") or "Unknown Track"),
"artist": str(payload.get("artist") or "Unknown Artist"),
"album": str(payload.get("album") or "Unknown Album"),
"filepath": str(payload.get("filepath") or ""),
"image": payload.get("image"),
"quality": str(payload.get("quality") or effective_quality),
"file_size": estimated_size,
"local_path": str(payload.get("local_path") or ""),
"collection": str(
payload.get("collection") or collection or "tracks"
),
"source": str(payload.get("source") or "mobile"),
"downloaded_at": str(payload.get("downloaded_at") or now),
"updated_at": now,
"play_count": self._to_int(payload.get("play_count"), default=0),
"last_played": payload.get("last_played"),
"is_available": bool(payload.get("is_available", True)),
}
by_hash[trackhash] = merged
queue_item = {
"queue_id": uuid.uuid4().hex[:16],
"trackhash": trackhash,
"status": "completed",
"quality": merged["quality"],
"collection": merged["collection"],
"added_at": now,
"completed_at": now,
"error_message": None,
}
queue.append(queue_item)
queue_items.append(queue_item)
self._save_offline_tracks(device_id, list(by_hash.values()))
self._save_queue(device_id, queue[-2000:])
self._touch_device(user_id, device_id, sync_status=SyncStatus.SYNCED.value)
# Cache sync queue in DragonflyDB for fast mobile access
sync_service = get_mobile_sync_service()
if sync_service.sync_cache.client.is_available():
try:
for item in queue_items:
sync_service.enqueue_sync_job(device_id, item)
logger.debug(
f"Enqueued {len(queue_items)} sync jobs to DragonflyDB for device {device_id}"
)
except Exception as e:
logger.debug(f"Failed to enqueue sync jobs to DragonflyDB: {e}")
return queue_items
def sync_playlist_offline(
self,
user_id: int,
device_id: str,
playlist_id: str,
quality: str | None = None,
) -> list[dict[str, Any]]:
try:
parsed_id = int(str(playlist_id).strip())
except ValueError as error:
raise ValueError("Invalid playlist id") from error
playlist = PlaylistTable.get_by_id(parsed_id)
if not playlist:
raise ValueError("Playlist not found")
trackhashes = list(playlist.trackhashes or [])
return self.add_to_offline_library(
user_id,
device_id,
trackhashes,
quality=quality,
collection=f"playlist:{playlist.name}",
)
def remove_from_offline_library(
self, user_id: int, device_id: str, trackhashes: list[str]
) -> bool:
with self._lock:
device = self._device_or_none(user_id, device_id)
if not device:
return False
remove_set = {
str(trackhash).strip()
for trackhash in trackhashes
if str(trackhash).strip()
}
if not remove_set:
return True
existing = self._load_offline_tracks(device_id)
filtered = [
item
for item in existing
if str(item.get("trackhash") or "") not in remove_set
]
self._save_offline_tracks(device_id, filtered)
now = self._iso_now()
queue = self._load_queue(device_id)
for trackhash in remove_set:
queue.append(
{
"queue_id": uuid.uuid4().hex[:16],
"trackhash": trackhash,
"status": "removed",
"quality": "",
"collection": "",
"added_at": now,
"completed_at": now,
"error_message": None,
}
)
self._save_queue(device_id, queue[-2000:])
self._touch_device(user_id, device_id, sync_status=SyncStatus.SYNCED.value)
return True
def get_sync_progress(self, user_id: int, device_id: str) -> dict[str, Any]:
device = self._device_or_none(user_id, device_id)
if not device:
raise ValueError("Device not found")
queue = self._load_queue(device_id)
events = self._load_events(device_id)
summary = self._queue_summary(queue)
pending_events = [event for event in events if event.get("status") != "synced"]
total = max(1, summary["total_count"] + len(events))
completed = summary["completed_count"] + (len(events) - len(pending_events))
overall = round((completed / total) * 100.0, 2)
return {
"total_items": summary["total_count"],
"completed_items": summary["completed_count"],
"downloading_items": summary["downloading_count"],
"failed_items": summary["failed_count"],
"overall_progress": overall,
"pending_events": len(pending_events),
"last_sync": device.get("last_sync"),
"sync_status": device.get("sync_status", SyncStatus.NOT_SYNCED.value),
}
def force_sync_now(self, user_id: int, device_id: str) -> bool:
with self._lock:
device = self._device_or_none(user_id, device_id)
if not device:
return False
device["sync_status"] = SyncStatus.SYNCING.value
device["updated_at"] = self._iso_now()
self._upsert_device(user_id, device)
# Simulate immediate completion after metadata reconciliation.
device["last_sync"] = self._iso_now()
device["sync_status"] = SyncStatus.SYNCED.value
device["updated_at"] = self._iso_now()
self._upsert_device(user_id, device)
return True
def get_storage_usage(self, user_id: int, device_id: str) -> StorageUsage:
device = self._device_or_none(user_id, device_id)
if not device:
raise ValueError("Device not found")
tracks = self._load_offline_tracks(device_id)
offline_size = 0
quality_breakdown: dict[str, int] = {}
for item in tracks:
size = self._to_int(
item.get("file_size"),
default=self._estimate_size_bytes(str(item.get("quality") or "")),
)
offline_size += size
key = str(item.get("quality") or "unknown")
quality_breakdown[key] = quality_breakdown.get(key, 0) + size
events_bytes = self._json_size(self._load_events(device_id))
queue_bytes = self._json_size(self._load_queue(device_id))
other_data = events_bytes + queue_bytes
used = offline_size + other_data
total_capacity = self._to_int(device.get("storage_capacity"), default=0)
reported_available = self._to_int(device.get("available_storage"), default=0)
if total_capacity > 0:
available = max(0, total_capacity - used)
else:
available = max(0, reported_available)
return StorageUsage(
total_capacity=total_capacity,
used_space=used,
available_space=available,
offline_tracks_count=len(tracks),
offline_tracks_size=offline_size,
other_data_size=other_data,
quality_breakdown=quality_breakdown,
)
def cleanup_device_content(
self,
user_id: int,
device_id: str,
*,
strategy: str,
free_space_bytes: int,
) -> int:
with self._lock:
device = self._device_or_none(user_id, device_id)
if not device:
return 0
tracks = self._load_offline_tracks(device_id)
if not tracks:
return 0
if strategy == "all":
removed = tracks
remaining: list[dict[str, Any]] = []
elif strategy == "oldest":
sorted_tracks = sorted(
tracks, key=lambda item: str(item.get("downloaded_at") or "")
)
removed, remaining = self._remove_until_size(
sorted_tracks, free_space_bytes
)
else:
sorted_tracks = sorted(
tracks,
key=lambda item: (
self._to_int(item.get("play_count"), default=0),
str(item.get("last_played") or ""),
),
)
removed, remaining = self._remove_until_size(
sorted_tracks, free_space_bytes
)
self._save_offline_tracks(device_id, remaining)
self._touch_device(user_id, device_id, sync_status=SyncStatus.SYNCED.value)
freed = sum(
self._to_int(
item.get("file_size"),
default=self._estimate_size_bytes(str(item.get("quality") or "")),
)
for item in removed
)
return freed
def append_events(
self, user_id: int, device_id: str, events: list[dict[str, Any]]
) -> dict[str, int]:
with self._lock:
device = self._device_or_none(user_id, device_id)
if not device:
raise ValueError("Device not found")
current = self._load_events(device_id)
now = self._iso_now()
accepted = 0
for raw in events:
if not isinstance(raw, dict):
continue
event_type = str(raw.get("event_type") or "").strip()
payload = (
raw.get("payload") if isinstance(raw.get("payload"), dict) else {}
)
if not event_type:
continue
event = {
"event_id": str(raw.get("event_id") or uuid.uuid4().hex),
"event_type": event_type,
"payload": payload,
"timestamp": str(raw.get("timestamp") or now),
"status": str(raw.get("status") or "pending"),
}
current.append(event)
accepted += 1
self._save_events(device_id, current[-4000:])
self._touch_device(user_id, device_id, sync_status=SyncStatus.SYNCED.value)
return {
"accepted": accepted,
"total_events": len(current[-4000:]),
}
def mark_events_synced(
self, user_id: int, device_id: str, event_ids: list[str] | None = None
) -> int:
with self._lock:
device = self._device_or_none(user_id, device_id)
if not device:
return 0
events = self._load_events(device_id)
if not events:
return 0
ids = {
str(event_id).strip()
for event_id in (event_ids or [])
if str(event_id).strip()
}
updated = 0
for event in events:
if ids and str(event.get("event_id")) not in ids:
continue
if event.get("status") != "synced":
event["status"] = "synced"
updated += 1
self._save_events(device_id, events[-4000:])
self._touch_device(user_id, device_id, sync_status=SyncStatus.SYNCED.value)
return updated
def quality_presets(self) -> dict[str, Any]:
return {
OfflineQuality.SPACE_SAVER.value: {
"name": "Space Saver",
"description": "Lower bitrate, saves mobile data and storage",
"estimated_size_per_track": "3 MB",
"recommended_for": "Cellular and limited storage",
"formats": ["MP3 96-128 kbps", "AAC 128 kbps"],
},
OfflineQuality.BALANCED.value: {
"name": "Balanced",
"description": "Good quality and moderate storage",
"estimated_size_per_track": "6 MB",
"recommended_for": "Default everyday usage",
"formats": ["MP3 192-256 kbps", "AAC 256 kbps"],
},
OfflineQuality.HIGH_QUALITY.value: {
"name": "High Quality",
"description": "Higher bitrate with better detail",
"estimated_size_per_track": "12 MB",
"recommended_for": "Wi-Fi and headphones",
"formats": ["MP3 320 kbps", "AAC 320 kbps", "OGG"],
},
OfflineQuality.LOSSLESS.value: {
"name": "Lossless",
"description": "Maximum fidelity, larger storage usage",
"estimated_size_per_track": "30 MB",
"recommended_for": "Audiophile devices",
"formats": ["FLAC", "ALAC", "WAV"],
},
}
# Internal helpers
def _resolve_track_payloads(self, track_items: list[Any]) -> list[dict[str, Any]]:
normalized_hashes: list[str] = []
payload_by_hash: dict[str, dict[str, Any]] = {}
for item in track_items:
if isinstance(item, str):
trackhash = item.strip()
if not trackhash:
continue
normalized_hashes.append(trackhash)
payload_by_hash.setdefault(trackhash, {"trackhash": trackhash})
continue
if isinstance(item, dict):
raw_hash = item.get("trackhash") or item.get("hash") or item.get("id")
trackhash = str(raw_hash or "").strip()
if not trackhash:
continue
normalized_hashes.append(trackhash)
payload_by_hash[trackhash] = {
**payload_by_hash.get(trackhash, {}),
**item,
"trackhash": trackhash,
}
if not normalized_hashes:
return []
tracks = TrackStore.get_tracks_by_trackhashes(normalized_hashes)
track_map = {
track.trackhash: track
for track in tracks
if getattr(track, "trackhash", None)
}
payloads: list[dict[str, Any]] = []
for trackhash in normalized_hashes:
raw = payload_by_hash.get(trackhash, {}).copy()
track = track_map.get(trackhash)
if track:
raw.setdefault("title", str(getattr(track, "title", "")))
raw.setdefault("artist", str(getattr(track, "artist", "")))
raw.setdefault("album", str(getattr(track, "album", "")))
raw.setdefault("filepath", str(getattr(track, "filepath", "")))
raw.setdefault("image", getattr(track, "thumb", None))
bitrate = self._to_int(getattr(track, "bitrate", 0), default=0)
if bitrate > 0 and not raw.get("file_size"):
raw["file_size"] = self._estimate_size_bytes(str(bitrate))
raw["trackhash"] = trackhash
payloads.append(raw)
return payloads
def _tracks_for_album(self, album_hash: str) -> list[str]:
tracks = AlbumStore.get_album_tracks(album_hash)
return [
track.trackhash for track in tracks if getattr(track, "trackhash", None)
]
def _tracks_for_artist(self, artist_hash: str) -> list[str]:
tracks = ArtistStore.get_artist_tracks(artist_hash)
return [
track.trackhash for track in tracks if getattr(track, "trackhash", None)
]
def tracks_for_collection(
self, *, collection_type: str, collection_id: str
) -> list[str]:
if collection_type == "album":
return self._tracks_for_album(collection_id)
if collection_type == "artist":
return self._tracks_for_artist(collection_id)
if collection_type == "playlist":
try:
playlist = PlaylistTable.get_by_id(int(collection_id))
except Exception:
return []
if not playlist:
return []
return list(playlist.trackhashes or [])
return []
def _queue_summary(self, queue: list[dict[str, Any]]) -> dict[str, int]:
summary = {
"pending_count": 0,
"downloading_count": 0,
"completed_count": 0,
"failed_count": 0,
"total_count": len(queue),
}
for item in queue:
status = str(item.get("status") or "").lower()
if status in ("queued", "pending"):
summary["pending_count"] += 1
elif status in ("downloading", "syncing"):
summary["downloading_count"] += 1
elif status in ("completed", "removed", "synced"):
summary["completed_count"] += 1
elif status in ("failed", "error"):
summary["failed_count"] += 1
return summary
def _remove_until_size(
self,
sorted_tracks: list[dict[str, Any]],
required_bytes: int,
) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]:
removed: list[dict[str, Any]] = []
remaining = list(sorted_tracks)
freed = 0
for item in list(sorted_tracks):
if freed >= required_bytes and required_bytes > 0:
break
removed.append(item)
remaining.remove(item)
freed += self._to_int(
item.get("file_size"),
default=self._estimate_size_bytes(str(item.get("quality") or "")),
)
return removed, remaining
def _touch_device(self, user_id: int, device_id: str, *, sync_status: str) -> None:
devices = self._load_devices(user_id)
device = next((d for d in devices if d.get("device_id") == device_id), None)
if not device:
return
device["last_sync"] = self._iso_now()
device["sync_status"] = sync_status
device["updated_at"] = self._iso_now()
usage = self.get_storage_usage(user_id, device_id)
device["available_storage"] = usage.available_space
self._save_devices(user_id, devices)
def _upsert_device(self, user_id: int, device: dict[str, Any]) -> None:
devices = self._load_devices(user_id)
for idx, existing in enumerate(devices):
if existing.get("device_id") == device.get("device_id"):
devices[idx] = device
self._save_devices(user_id, devices)
return
devices.append(device)
self._save_devices(user_id, devices)
def _device_or_none(self, user_id: int, device_id: str) -> dict[str, Any] | None:
devices = self._load_devices(user_id)
return next((d for d in devices if d.get("device_id") == device_id), None)
def _public_device(self, device: dict[str, Any]) -> dict[str, Any]:
return {
"device_id": device.get("device_id"),
"name": device.get("device_name"),
"type": device.get("device_type"),
"storage_capacity": self._to_int(device.get("storage_capacity"), default=0),
"available_storage": self._to_int(
device.get("available_storage"), default=0
),
"last_sync": device.get("last_sync"),
"sync_status": device.get("sync_status", SyncStatus.NOT_SYNCED.value),
"offline_quality": device.get(
"offline_quality", OfflineQuality.BALANCED.value
),
"auto_sync_enabled": bool(device.get("auto_sync_enabled", True)),
"sync_preferences": device.get("sync_preferences") or {},
"created_at": device.get("created_at"),
"updated_at": device.get("updated_at"),
}
def _generate_device_id(self, user_id: int, device_info: dict[str, Any]) -> str:
fingerprint = str(
device_info.get("fingerprint")
or device_info.get("device_fingerprint")
or ""
).strip()
base = "|".join(
[
str(user_id),
str(device_info.get("type") or "unknown"),
str(device_info.get("name") or "mobile"),
fingerprint,
]
)
return hashlib.sha256(base.encode("utf-8")).hexdigest()[:24]
def _merged_preferences(
self, existing: dict[str, Any], incoming: dict[str, Any]
) -> dict[str, Any]:
result = {
"auto_sync": bool(existing.get("auto_sync", True)),
"wifi_only": bool(existing.get("wifi_only", False)),
"quality": self._normalize_quality(
str(existing.get("quality") or OfflineQuality.BALANCED.value)
),
}
for key, value in incoming.items():
result[key] = value
result["quality"] = self._normalize_quality(
str(result.get("quality") or OfflineQuality.BALANCED.value)
)
result["auto_sync"] = bool(result.get("auto_sync", True))
result["wifi_only"] = bool(result.get("wifi_only", False))
return result
def _normalize_quality(self, raw: str) -> str:
normalized = raw.strip().lower()
if normalized in {"96", "128", "low", "space", "space_saver"}:
return OfflineQuality.SPACE_SAVER.value
if normalized in {"192", "256", "balanced", "medium"}:
return OfflineQuality.BALANCED.value
if normalized in {"320", "512", "high", "high_quality"}:
return OfflineQuality.HIGH_QUALITY.value
if normalized in {"1024", "1411", "flac", "original", "lossless"}:
return OfflineQuality.LOSSLESS.value
if normalized in {quality.value for quality in OfflineQuality}:
return normalized
return OfflineQuality.BALANCED.value
def _estimate_size_bytes(self, quality: str) -> int:
mapped = self._normalize_quality(quality)
estimates = {
OfflineQuality.SPACE_SAVER.value: 3 * 1024 * 1024,
OfflineQuality.BALANCED.value: 6 * 1024 * 1024,
OfflineQuality.HIGH_QUALITY.value: 12 * 1024 * 1024,
OfflineQuality.LOSSLESS.value: 30 * 1024 * 1024,
}
return estimates[mapped]
def _devices_file(self, user_id: int) -> Path:
return self.devices_dir / f"devices_{user_id}.json"
def _offline_file(self, device_id: str) -> Path:
return self.offline_dir / f"offline_{device_id}.json"
def _queue_file(self, device_id: str) -> Path:
return self.queue_dir / f"queue_{device_id}.json"
def _events_file(self, device_id: str) -> Path:
return self.events_dir / f"events_{device_id}.json"
def _ensure_device_files(self, device_id: str) -> None:
for path, default in (
(self._offline_file(device_id), []),
(self._queue_file(device_id), []),
(self._events_file(device_id), []),
):
if not path.exists():
self._write_json(path, default)
def _load_devices(self, user_id: int) -> list[dict[str, Any]]:
return self._read_json(self._devices_file(user_id), default=[])
def _save_devices(self, user_id: int, devices: list[dict[str, Any]]) -> None:
self._write_json(self._devices_file(user_id), devices)
def _load_offline_tracks(self, device_id: str) -> list[dict[str, Any]]:
return self._read_json(self._offline_file(device_id), default=[])
def _save_offline_tracks(
self, device_id: str, tracks: list[dict[str, Any]]
) -> None:
self._write_json(self._offline_file(device_id), tracks)
def _load_queue(self, device_id: str) -> list[dict[str, Any]]:
return self._read_json(self._queue_file(device_id), default=[])
def _save_queue(self, device_id: str, queue: list[dict[str, Any]]) -> None:
self._write_json(self._queue_file(device_id), queue)
def _load_events(self, device_id: str) -> list[dict[str, Any]]:
return self._read_json(self._events_file(device_id), default=[])
def _save_events(self, device_id: str, events: list[dict[str, Any]]) -> None:
self._write_json(self._events_file(device_id), events)
def _read_json(self, path: Path, *, default: Any):
if not path.exists():
return default
try:
with path.open("r", encoding="utf-8") as handle:
payload = json.load(handle)
if isinstance(default, list) and isinstance(payload, list):
return payload
if isinstance(default, dict) and isinstance(payload, dict):
return payload
return default
except Exception:
return default
def _write_json(self, path: Path, payload: Any) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
with path.open("w", encoding="utf-8") as handle:
json.dump(payload, handle, ensure_ascii=True, indent=2)
def _json_size(self, payload: Any) -> int:
return len(json.dumps(payload, ensure_ascii=True).encode("utf-8"))
def _to_int(self, value: Any, *, default: int = 0) -> int:
try:
return int(value)
except Exception:
return default
def _iso_now(self) -> str:
return time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
mobile_offline_service = MobileOfflineService()
swingmusic/services/music_catalog.py
+1117
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swingmusic/services/musicbrainz_client.py
+354
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@@ -0,0 +1,354 @@
"""
MusicBrainz API v2 Client for Universal Music Downloader
Provides comprehensive music metadata from MusicBrainz database
"""
import logging
from dataclasses import dataclass
from typing import Any
import aiohttp
logger = logging.getLogger(__name__)
@dataclass
class MusicBrainzRecording:
"""MusicBrainz recording metadata"""
mbid: str
title: str
artist: str
artist_mbid: str | None = None
release: str | None = None
release_mbid: str | None = None
isrc: str | None = None
duration: int | None = None
position: int | None = None
genres: list[str] = None
release_date: str | None = None
country: str | None = None
tags: list[str] = None
cover_art: str | None = None
@dataclass
class MusicBrainzArtist:
"""MusicBrainz artist metadata"""
mbid: str
name: str
sort_name: str | None = None
disambiguation: str | None = None
country: str | None = None
life_span: dict[str, str] | None = None
genres: list[str] = None
tags: list[str] = None
rating: float | None = None
class MusicBrainzClient:
"""MusicBrainz API v2 client"""
def __init__(self, app_name: str = "SwingMusic", app_version: str = "1.0.0"):
self.base_url = "https://musicbrainz.org/ws/2"
self.app_name = app_name
self.app_version = app_version
self.session = None
async def _get_session(self) -> aiohttp.ClientSession:
"""Get or create aiohttp session"""
if self.session is None:
self.session = aiohttp.ClientSession()
return self.session
def _build_url(self, endpoint: str, params: dict[str, str] = None) -> str:
"""Build MusicBrainz API URL"""
url = f"{self.base_url}/{endpoint}"
if params:
param_string = "&".join([f"{k}={v}" for k, v in params.items()])
url += f"?{param_string}"
return url
async def lookup_recording(
self, mbid: str, includes: list[str] = None
) -> MusicBrainzRecording | None:
"""Lookup detailed recording information"""
try:
session = await self._get_session()
params = {}
if includes:
params["inc"] = ",".join(includes)
url = self._build_url(f"recording/{mbid}", params)
headers = {
"User-Agent": f"{self.app_name}/{self.app_version}",
"Accept": "application/json",
}
async with session.get(url, headers=headers) as response:
if response.status == 200:
data = await response.json()
return self._parse_recording_response(data)
else:
logger.warning(
f"MusicBrainz recording lookup failed: {response.status}"
)
return None
except Exception as e:
logger.error(f"Error looking up MusicBrainz recording: {e}")
return None
async def lookup_artist(
self, mbid: str, includes: list[str] = None
) -> MusicBrainzArtist | None:
"""Lookup detailed artist information"""
try:
session = await self._get_session()
params = {}
if includes:
params["inc"] = ",".join(includes)
url = self._build_url(f"artist/{mbid}", params)
headers = {
"User-Agent": f"{self.app_name}/{self.app_version}",
"Accept": "application/json",
}
async with session.get(url, headers=headers) as response:
if response.status == 200:
data = await response.json()
return self._parse_artist_response(data)
else:
logger.warning(
f"MusicBrainz artist lookup failed: {response.status}"
)
return None
except Exception as e:
logger.error(f"Error looking up MusicBrainz artist: {e}")
return None
async def search_recordings(
self, query: str, artist: str = None, limit: int = 25
) -> list[MusicBrainzRecording]:
"""Search for recordings"""
try:
session = await self._get_session()
params = {"query": f'"{query}"', "limit": str(limit)}
if artist:
params["artist"] = f'"{artist}"'
url = self._build_url("recording", params)
headers = {
"User-Agent": f"{self.app_name}/{self.app_version}",
"Accept": "application/json",
}
async with session.get(url, headers=headers) as response:
if response.status == 200:
data = await response.json()
return self._parse_recording_list_response(data)
else:
logger.warning(
f"MusicBrainz recording search failed: {response.status}"
)
return []
except Exception as e:
logger.error(f"Error searching MusicBrainz recordings: {e}")
return []
async def get_artist_releases(
self, mbid: str, release_types: list[str] = None
) -> list[str]:
"""Get all releases for an artist"""
try:
session = await self._get_session()
params = {}
if release_types:
params["type"] = ",".join(release_types)
url = self._build_url("release", {"artist": mbid, **params})
headers = {
"User-Agent": f"{self.app_name}/{self.app_version}",
"Accept": "application/json",
}
async with session.get(url, headers=headers) as response:
if response.status == 200:
data = await response.json()
releases = data.get("releases", [])
return [release.get("id", "") for release in releases]
else:
logger.warning(
f"MusicBrainz artist releases failed: {response.status}"
)
return []
except Exception as e:
logger.error(f"Error getting MusicBrainz artist releases: {e}")
return []
def _parse_recording_response(
self, data: dict[str, Any]
) -> MusicBrainzRecording | None:
"""Parse MusicBrainz recording response"""
try:
recording_data = data.get("recording")
if not recording_data:
return None
# Extract basic info
title = recording_data.get("title", "")
# Extract artist info
artist_credit = recording_data.get("artist-credit", [])
artist = (
artist_credit[0].get("artist", {}).get("name", "")
if artist_credit
else ""
)
artist_mbid = (
artist_credit[0].get("artist", {}).get("id") if artist_credit else None
)
# Extract release info
release_list = recording_data.get("release-list", [])
release = release_list[0] if release_list else None
release_title = release.get("title", "") if release else None
release_mbid = release.get("id") if release else None
# Extract ISRC
isrc_list = recording_data.get("isrc-list", [])
isrc = isrc_list[0] if isrc_list else None
# Extract duration
duration = recording_data.get("length")
# Extract tags and genres
tag_list = recording_data.get("tag-list", [])
tags = [tag.get("name", "") for tag in tag_list]
# Extract release info
release_info = recording_data.get("release", {})
release_date = release_info.get("date")
country = release_info.get("country")
# Extract cover art
cover_art = None
if release:
cover_art_archive = release.get("cover-art-archive", [])
if cover_art_archive:
cover_art = cover_art_archive[0].get("image")
return MusicBrainzRecording(
mbid=data.get("id", ""),
title=title,
artist=artist,
artist_mbid=artist_mbid,
release=release_title,
release_mbid=release_mbid,
isrc=isrc,
duration=duration,
position=recording_data.get("position"),
genres=tags,
release_date=release_date,
country=country,
tags=tags,
cover_art=cover_art,
)
except Exception as e:
logger.error(f"Error parsing MusicBrainz recording response: {e}")
return None
def _parse_artist_response(self, data: dict[str, Any]) -> MusicBrainzArtist | None:
"""Parse MusicBrainz artist response"""
try:
artist_data = data.get("artist")
if not artist_data:
return None
name = artist_data.get("name", "")
sort_name = artist_data.get("sort-name")
disambiguation = artist_data.get("disambiguation")
country = artist_data.get("country")
# Extract life span
life_span = artist_data.get("life-span")
# Extract tags and genres
tag_list = artist_data.get("tag-list", [])
tags = [tag.get("name", "") for tag in tag_list]
# Extract rating
rating = artist_data.get("rating", {}).get("value")
return MusicBrainzArtist(
mbid=data.get("id", ""),
name=name,
sort_name=sort_name,
disambiguation=disambiguation,
country=country,
life_span=life_span,
genres=tags,
tags=tags,
rating=rating,
)
except Exception as e:
logger.error(f"Error parsing MusicBrainz artist response: {e}")
return None
def _parse_recording_list_response(
self, data: dict[str, Any]
) -> list[MusicBrainzRecording]:
"""Parse MusicBrainz recording list response"""
try:
recordings = []
recording_list = data.get("recordings", [])
for recording_data in recording_list:
recording = self._parse_recording_response(
{"recording": recording_data}
)
if recording:
recordings.append(recording)
return recordings
except Exception as e:
logger.error(f"Error parsing MusicBrainz recording list: {e}")
return []
async def close(self):
"""Close the aiohttp session"""
if self.session:
await self.session.close()
# Singleton instance for easy access
_musicbrainz_client: MusicBrainzClient | None = None
def get_musicbrainz_client() -> MusicBrainzClient:
"""Get or create the MusicBrainz client"""
global _musicbrainz_client
if _musicbrainz_client is None:
_musicbrainz_client = MusicBrainzClient()
return _musicbrainz_client
# Global instance
musicbrainz_client = MusicBrainzClient()
swingmusic/services/playlist_tracking.py
+965
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@@ -0,0 +1,965 @@
from __future__ import annotations
import hashlib
import logging
import os
import re
import threading
import time
from typing import Any
from sqlalchemy import and_, insert, select, update
from swingmusic.db.engine import DbEngine
from swingmusic.db.libdata import TrackTable
from swingmusic.db.production import DownloadJobTable, TrackedPlaylistTable
from swingmusic.db.userdata import PlaylistTable
from swingmusic.services.download_jobs import download_job_manager
from swingmusic.services.library_projection import get_track_availability_map
from swingmusic.services.spotify_metadata_client import (
SpotifyTrack,
get_spotify_metadata_client,
)
from swingmusic.services.universal_url_parser import universal_url_parser
from swingmusic.utils.dates import create_new_date
from swingmusic.utils.hashing import create_hash
log = logging.getLogger(__name__)
_SPOTIFY_PLAYLIST_URL_PATTERN = re.compile(
r"(?:https?://)?(?:open\.)?spotify\.com/playlist/([A-Za-z0-9]+)",
re.IGNORECASE,
)
def _quality_codec_pair(quality: str | None, codec: str | None) -> tuple[str, str]:
quality_name = (quality or "lossless").lower().strip()
codec_name = (codec or "flac").lower().strip()
quality_map = {
"flac": ("lossless", "flac"),
"lossless": ("lossless", "flac"),
"high": ("high", "mp3"),
"medium": ("medium", "mp3"),
"low": ("low", "mp3"),
"mp3_320": ("high", "mp3"),
"mp3_256": ("medium", "mp3"),
"mp3_192": ("medium", "mp3"),
"mp3_128": ("low", "mp3"),
}
if quality_name in quality_map:
return quality_map[quality_name]
if codec_name == "flac":
return ("lossless", "flac")
if quality_name not in {"lossless", "high", "medium", "low"}:
quality_name = "high"
if codec_name not in {"flac", "mp3", "aac", "ogg", "opus", "m4a"}:
codec_name = "mp3"
return (quality_name, codec_name)
def _parse_spotify_playlist_id(url: str) -> str | None:
parsed = universal_url_parser.parse_url(url)
if parsed and parsed.service.value == "spotify" and parsed.item_type == "playlist":
return parsed.id
match = _SPOTIFY_PLAYLIST_URL_PATTERN.search(url or "")
if match:
return match.group(1)
return None
def _parse_trackable_playlist_source(url: str) -> tuple[str, str, str] | None:
"""
Returns (service, item_type, item_id) for trackable external list sources.
"""
parsed = universal_url_parser.parse_url(url)
if not parsed:
return None
item_type = (parsed.item_type or "").lower()
if item_type != "playlist":
return None
service = parsed.service.value
item_id = parsed.id or ""
if not item_id:
return None
return service, item_type, item_id
def _trackhash_from_spotify_track(track: SpotifyTrack) -> str | None:
title = (track.name or "").strip()
artist_names = [
artist.get("name", "") for artist in (track.artists or []) if artist.get("name")
]
artist = ", ".join([name for name in artist_names if name]).strip()
album = ""
if isinstance(track.album, dict):
album = (track.album.get("name") or "").strip()
if not title or not artist:
return None
return create_hash(title, album, artist)
def _snapshot_hash(track_ids: list[str]) -> str:
joined = "\n".join(track_ids)
return hashlib.sha1(joined.encode("utf-8")).hexdigest()
def _as_int(value: Any) -> int | None:
try:
if value is None:
return None
return int(value)
except (TypeError, ValueError):
return None
def _tracked_playlist_name(service: str, title: str | None, playlist_id: str) -> str:
base = (title or "").strip() or f"{service.title()} Playlist {playlist_id[:12]}"
return f"[Tracked] {base}"[:180]
def _find_mirror_playlist_row(
userid: int, tracked_id: int, local_playlist_id: int | None = None
) -> Any | None:
with DbEngine.manager() as conn:
if local_playlist_id:
row = conn.execute(
select(PlaylistTable).where(
and_(
PlaylistTable.id == local_playlist_id,
PlaylistTable.userid == userid,
)
)
).scalar_one_or_none()
if row:
return row
rows = list(
conn.execute(
select(PlaylistTable).where(PlaylistTable.userid == userid)
).scalars()
)
for row in rows:
extra = row.extra or {}
if not isinstance(extra, dict):
continue
tracked_extra = extra.get("tracked_playlist") or {}
if not isinstance(tracked_extra, dict):
continue
if _as_int(tracked_extra.get("tracked_id")) == tracked_id:
return row
return None
def _sync_mirror_playlist(
*,
tracked_row: Any,
playlist_title: str | None,
owner_name: str | None,
ordered_trackhashes: list[str],
snapshot_track_ids: list[str],
) -> int | None:
userid = int(tracked_row.userid)
row_extra = tracked_row.extra or {}
local_playlist_id = (
_as_int(row_extra.get("local_playlist_id"))
if isinstance(row_extra, dict)
else None
)
mirror_row = _find_mirror_playlist_row(userid, tracked_row.id, local_playlist_id)
playlist_name = _tracked_playlist_name(
tracked_row.service, playlist_title, tracked_row.playlist_id
)
now = int(time.time())
tracked_meta = {
"tracked_id": tracked_row.id,
"service": tracked_row.service,
"playlist_id": tracked_row.playlist_id,
"source_url": tracked_row.source_url,
"owner_name": owner_name,
"last_synced_at": now,
"snapshot_track_count": len(snapshot_track_ids),
}
if mirror_row:
playlist_extra = mirror_row.extra if isinstance(mirror_row.extra, dict) else {}
playlist_extra = {
**playlist_extra,
"managed": True,
"tracked_playlist": tracked_meta,
}
with DbEngine.manager(commit=True) as conn:
conn.execute(
update(PlaylistTable)
.where(
and_(
PlaylistTable.id == mirror_row.id,
PlaylistTable.userid == userid,
)
)
.values(
name=playlist_name,
last_updated=create_new_date(),
trackhashes=ordered_trackhashes,
extra=playlist_extra,
)
)
return int(mirror_row.id)
playlist_settings = {
"has_gif": False,
"banner_pos": 50,
"square_img": False,
"pinned": False,
}
playlist_extra = {
"managed": True,
"tracked_playlist": tracked_meta,
}
with DbEngine.manager(commit=True) as conn:
result = conn.execute(
insert(PlaylistTable).values(
name=playlist_name,
image=None,
last_updated=create_new_date(),
userid=userid,
settings=playlist_settings,
trackhashes=ordered_trackhashes,
extra=playlist_extra,
)
)
inserted_id = None
try:
inserted_id = _as_int(result.inserted_primary_key[0])
except Exception:
inserted_id = None
if inserted_id is None:
inserted_id = _as_int(getattr(result, "lastrowid", None))
return inserted_id
def _serialize_tracked_playlist(row: Any) -> dict[str, Any]:
row_extra = row.extra if isinstance(row.extra, dict) else {}
return {
"id": row.id,
"userid": row.userid,
"service": row.service,
"playlist_id": row.playlist_id,
"source_url": row.source_url,
"title": row.title,
"owner_name": row.owner_name,
"quality": row.quality,
"codec": row.codec,
"auto_sync": bool(row.auto_sync),
"sync_interval_seconds": int(row.sync_interval_seconds or 0),
"next_sync_at": row.next_sync_at,
"last_sync_at": row.last_sync_at,
"status": row.status,
"snapshot_track_count": len(row.snapshot_track_ids or []),
"snapshot_hash": row.snapshot_hash,
"local_playlist_id": _as_int(row_extra.get("local_playlist_id")),
"last_result": row.last_result or {},
"last_error": row.last_error,
"created_at": row.created_at,
"updated_at": row.updated_at,
}
def _has_active_sync_job(userid: int, tracked_id: int) -> bool:
with DbEngine.manager() as conn:
result = conn.execute(
select(DownloadJobTable)
.where(
and_(
DownloadJobTable.userid == userid,
DownloadJobTable.state.in_(["queued", "downloading"]),
)
)
.order_by(DownloadJobTable.created_at.desc())
.limit(200)
)
jobs = list(result.scalars())
for job in jobs:
payload = job.payload or {}
if payload.get("tracked_playlist_id") == tracked_id:
return True
return False
def _latest_completed_sync_job(userid: int, tracked_id: int) -> Any | None:
with DbEngine.manager() as conn:
result = conn.execute(
select(DownloadJobTable)
.where(
and_(
DownloadJobTable.userid == userid,
DownloadJobTable.state == "completed",
)
)
.order_by(DownloadJobTable.created_at.desc())
.limit(300)
)
jobs = list(result.scalars())
for job in jobs:
payload = job.payload or {}
if payload.get("tracked_playlist_id") == tracked_id:
return job
return None
def _collect_trackhashes_for_path(path: str | None) -> list[str]:
if not path:
return []
scope_path = path if os.path.isdir(path) else os.path.dirname(path)
if not scope_path or not os.path.exists(scope_path):
return []
tracks = TrackTable.get_tracks_in_path(scope_path)
seen: set[str] = set()
ordered: list[str] = []
for track in tracks:
trackhash = getattr(track, "trackhash", None)
if not trackhash or trackhash in seen:
continue
seen.add(trackhash)
ordered.append(trackhash)
return ordered
def _snapshot_ids_from_trackhashes(trackhashes: list[str]) -> list[str]:
return [f"trackhash:{trackhash}" for trackhash in trackhashes if trackhash]
class PlaylistTrackingService:
def __init__(self) -> None:
self._thread: threading.Thread | None = None
self._stop = threading.Event()
self._lock = threading.RLock()
self._processing: set[int] = set()
self.poll_interval_seconds = int(
max(
15,
min(
int(float(os.getenv("SWINGMUSIC_PLAYLIST_TRACKER_POLL", "30"))), 300
),
)
)
def start(self) -> None:
if self._thread and self._thread.is_alive():
return
self._stop.clear()
self._thread = threading.Thread(
target=self._worker_loop,
name="playlist-tracking-worker",
daemon=True,
)
self._thread.start()
def stop(self) -> None:
self._stop.set()
if self._thread and self._thread.is_alive():
self._thread.join(timeout=2)
def list_tracked_playlists(self, userid: int) -> list[dict[str, Any]]:
rows = TrackedPlaylistTable.list_for_user(userid)
return [_serialize_tracked_playlist(row) for row in rows]
def get_tracked_playlist(
self, tracked_id: int, userid: int
) -> dict[str, Any] | None:
row = TrackedPlaylistTable.get_by_id(tracked_id, userid=userid)
if not row:
return None
return _serialize_tracked_playlist(row)
def find_tracked_playlist(
self, *, userid: int, service: str, playlist_id: str
) -> dict[str, Any] | None:
row = TrackedPlaylistTable.get_by_source(
userid=userid, service=service, playlist_id=playlist_id
)
if not row or row.status == "deleted":
return None
return _serialize_tracked_playlist(row)
def track_playlist(
self,
*,
userid: int,
source_url: str,
quality: str | None = None,
codec: str | None = None,
auto_sync: bool = True,
sync_interval_seconds: int = 900,
sync_now: bool = True,
) -> dict[str, Any]:
source = _parse_trackable_playlist_source(source_url)
if not source:
raise ValueError("Only trackable playlist links are supported")
service, item_type, playlist_id = source
quality_name, codec_name = _quality_codec_pair(quality, codec)
interval = max(120, min(int(sync_interval_seconds or 900), 24 * 3600))
now = int(time.time())
playlist = None
owner_name = None
title = None
if service == "spotify":
client = get_spotify_metadata_client()
playlist = client.get_playlist(playlist_id)
if playlist:
owner_name = (playlist.owner or {}).get("display_name")
title = playlist.name
existing = TrackedPlaylistTable.get_by_source(
userid=userid,
service=service,
playlist_id=playlist_id,
)
existing_extra = (
existing.extra if existing and isinstance(existing.extra, dict) else {}
)
merged_extra = {
**existing_extra,
"item_type": item_type,
"service": service,
}
tracked = TrackedPlaylistTable.upsert(
userid=userid,
service=service,
playlist_id=playlist_id,
source_url=source_url,
values={
"title": title,
"owner_name": owner_name,
"quality": quality_name,
"codec": codec_name,
"auto_sync": bool(auto_sync),
"sync_interval_seconds": interval,
"next_sync_at": now,
"status": "active",
"last_error": None,
"extra": merged_extra,
},
)
result: dict[str, Any] = {
"tracked": _serialize_tracked_playlist(tracked),
"sync": None,
}
if sync_now:
result["sync"] = self.sync_tracked_playlist(
tracked.id, userid=userid, force=True
)
refreshed = TrackedPlaylistTable.get_by_id(tracked.id, userid=userid)
if refreshed:
result["tracked"] = _serialize_tracked_playlist(refreshed)
return result
def sync_tracked_playlist(
self, tracked_id: int, *, userid: int, force: bool = False
) -> dict[str, Any]:
with self._lock:
if tracked_id in self._processing:
return {
"success": False,
"tracked_id": tracked_id,
"message": "Sync already in progress",
}
self._processing.add(tracked_id)
try:
row = TrackedPlaylistTable.get_by_id(tracked_id, userid=userid)
if not row:
return {
"success": False,
"tracked_id": tracked_id,
"message": "Tracked playlist not found",
}
if row.status == "deleted":
return {
"success": False,
"tracked_id": tracked_id,
"message": "Tracked playlist is deleted",
}
if not force and not row.auto_sync:
return {
"success": True,
"tracked_id": tracked_id,
"message": "Auto-sync is disabled",
"queued_tracks": 0,
"added_tracks": 0,
"removed_tracks": 0,
"reordered_tracks": 0,
}
now = int(time.time())
TrackedPlaylistTable.update_row(
row.id,
{
"status": "syncing",
"last_error": None,
"next_sync_at": now
+ max(120, int(row.sync_interval_seconds or 900)),
},
)
# Generic multi-platform fallback:
# for non-Spotify playlist providers we still keep the link tracked and
# periodically queue a playlist-level refresh job.
if row.service != "spotify":
old_snapshot_ids = [
track_id for track_id in (row.snapshot_track_ids or []) if track_id
]
new_snapshot_ids = list(old_snapshot_ids)
resolved_trackhashes: list[str] = []
latest_job = _latest_completed_sync_job(userid, row.id)
if latest_job:
resolved_trackhashes = _collect_trackhashes_for_path(
latest_job.target_path
)
new_snapshot_ids = _snapshot_ids_from_trackhashes(
resolved_trackhashes
)
elif old_snapshot_ids and all(
str(track_id).startswith("trackhash:")
for track_id in old_snapshot_ids
):
resolved_trackhashes = [
str(track_id).split(":", 1)[1]
for track_id in old_snapshot_ids
if ":" in str(track_id)
]
old_set = set(old_snapshot_ids)
new_set = set(new_snapshot_ids)
added_items = [
track_id for track_id in new_snapshot_ids if track_id not in old_set
]
removed_items = [
track_id for track_id in old_snapshot_ids if track_id not in new_set
]
old_positions = {
track_id: index for index, track_id in enumerate(old_snapshot_ids)
}
reordered_items = 0
for index, track_id in enumerate(new_snapshot_ids):
previous = old_positions.get(track_id)
if previous is not None and previous != index:
reordered_items += 1
local_playlist_id = _sync_mirror_playlist(
tracked_row=row,
playlist_title=row.title,
owner_name=row.owner_name,
ordered_trackhashes=resolved_trackhashes,
snapshot_track_ids=new_snapshot_ids,
)
if _has_active_sync_job(userid, row.id):
summary = {
"success": True,
"tracked_id": row.id,
"playlist_id": row.playlist_id,
"playlist_title": row.title or row.playlist_id,
"local_playlist_id": local_playlist_id,
"total_tracks": len(new_snapshot_ids),
"added_tracks": len(added_items),
"removed_tracks": len(removed_items),
"reordered_tracks": reordered_items,
"queued_tracks": 0,
"skipped_tracks": 1,
"queue_errors": 0,
"synced_at": now,
"message": "Active job already exists for this tracked source",
}
else:
item_type = str((row.extra or {}).get("item_type") or "playlist")
try:
download_job_manager.enqueue(
userid=userid,
source_url=row.source_url,
source=row.service,
quality=row.quality,
codec=row.codec,
title=row.title,
artist=row.owner_name,
album=None,
item_type=item_type,
payload={
"tracked_playlist_id": row.id,
"playlist_id": row.playlist_id,
"playlist_title": row.title or row.playlist_id,
"sync_reason": "scheduled_refresh",
},
)
summary = {
"success": True,
"tracked_id": row.id,
"playlist_id": row.playlist_id,
"playlist_title": row.title or row.playlist_id,
"local_playlist_id": local_playlist_id,
"total_tracks": len(new_snapshot_ids),
"added_tracks": len(added_items),
"removed_tracks": len(removed_items),
"reordered_tracks": reordered_items,
"queued_tracks": 1,
"skipped_tracks": 0,
"queue_errors": 0,
"synced_at": now,
"message": f"Queued {row.service} playlist refresh",
}
except Exception as queue_error:
summary = {
"success": False,
"tracked_id": row.id,
"playlist_id": row.playlist_id,
"playlist_title": row.title or row.playlist_id,
"local_playlist_id": local_playlist_id,
"queued_tracks": 0,
"skipped_tracks": 0,
"queue_errors": 1,
"synced_at": now,
"error": str(queue_error),
}
tracked_extra = row.extra if isinstance(row.extra, dict) else {}
if local_playlist_id:
tracked_extra = {
**tracked_extra,
"local_playlist_id": local_playlist_id,
}
update_payload = {
"status": "active" if summary.get("success") else "failed",
"last_sync_at": now,
"next_sync_at": now
+ max(120, int(row.sync_interval_seconds or 900)),
"last_result": summary,
"last_error": summary.get("error"),
"extra": tracked_extra,
}
if new_snapshot_ids is not None:
update_payload["snapshot_track_ids"] = new_snapshot_ids
update_payload["snapshot_hash"] = _snapshot_hash(new_snapshot_ids)
TrackedPlaylistTable.update_row(
row.id,
update_payload,
)
return summary
client = get_spotify_metadata_client()
playlist = client.get_playlist(row.playlist_id)
if not playlist:
raise RuntimeError("Failed to load playlist metadata from Spotify")
max_tracks = int(os.getenv("SWINGMUSIC_PLAYLIST_SYNC_MAX_TRACKS", "800"))
tracks = client.get_playlist_tracks(
row.playlist_id, limit=max(1, min(max_tracks, 2000))
)
track_records: list[dict[str, Any]] = []
for track in tracks:
if not track.id:
continue
album_name = ""
if isinstance(track.album, dict):
album_name = track.album.get("name", "")
artists = [
artist.get("name", "")
for artist in (track.artists or [])
if artist.get("name")
]
artist_name = ", ".join([name for name in artists if name]).strip()
trackhash = _trackhash_from_spotify_track(track)
track_records.append(
{
"spotify_id": track.id,
"trackhash": trackhash,
"title": track.name,
"artist": artist_name,
"album": album_name,
"source_url": f"https://open.spotify.com/track/{track.id}",
}
)
new_track_ids = [record["spotify_id"] for record in track_records]
old_track_ids = [
track_id for track_id in (row.snapshot_track_ids or []) if track_id
]
old_set = set(old_track_ids)
new_set = set(new_track_ids)
added_track_ids = [
track_id for track_id in new_track_ids if track_id not in old_set
]
removed_track_ids = [
track_id for track_id in old_track_ids if track_id not in new_set
]
old_positions = {
track_id: index for index, track_id in enumerate(old_track_ids)
}
reordered_tracks = 0
for index, track_id in enumerate(new_track_ids):
previous = old_positions.get(track_id)
if previous is not None and previous != index:
reordered_tracks += 1
trackhashes = [
record["trackhash"]
for record in track_records
if record.get("trackhash")
]
availability = get_track_availability_map(trackhashes, userid=userid)
added_set = set(added_track_ids)
removed_set = set(removed_track_ids)
queued_tracks = 0
skipped_tracks = 0
queue_errors = 0
cancelled_removed_jobs = 0
seen_trackhashes: set[str] = set()
mirror_trackhashes = [
record["trackhash"]
for record in track_records
if record.get("trackhash")
]
local_playlist_id = _sync_mirror_playlist(
tracked_row=row,
playlist_title=playlist.name,
owner_name=(playlist.owner or {}).get("display_name")
if playlist.owner
else row.owner_name,
ordered_trackhashes=mirror_trackhashes,
snapshot_track_ids=new_track_ids,
)
if removed_set:
active_jobs = DownloadJobTable.list_for_user(
userid, states={"queued", "downloading"}
)
for job in active_jobs:
payload = job.payload or {}
if payload.get("tracked_playlist_id") != row.id:
continue
if payload.get("spotify_id") not in removed_set:
continue
if download_job_manager.cancel(job.id, userid):
cancelled_removed_jobs += 1
for record in track_records:
trackhash = record.get("trackhash")
spotify_id = record.get("spotify_id")
if not spotify_id or not trackhash:
skipped_tracks += 1
continue
if trackhash in seen_trackhashes:
skipped_tracks += 1
continue
seen_trackhashes.add(trackhash)
status = (availability.get(trackhash) or {}).get("state", "missing")
should_queue = False
if spotify_id in added_set:
should_queue = status != "available"
elif force:
should_queue = status in {"missing", "failed"}
if status == "queued":
should_queue = False
if not should_queue:
skipped_tracks += 1
continue
try:
download_job_manager.enqueue(
userid=userid,
source_url=record["source_url"],
source="spotify",
quality=row.quality,
codec=row.codec,
trackhash=trackhash,
title=record.get("title"),
artist=record.get("artist"),
album=record.get("album"),
item_type="track",
payload={
"tracked_playlist_id": row.id,
"playlist_id": row.playlist_id,
"playlist_title": row.title or playlist.name,
"spotify_id": spotify_id,
"sync_reason": "new_track"
if spotify_id in added_set
else "missing_repair",
},
)
queued_tracks += 1
except Exception:
queue_errors += 1
summary = {
"success": True,
"tracked_id": row.id,
"playlist_id": row.playlist_id,
"playlist_title": playlist.name,
"local_playlist_id": local_playlist_id,
"total_tracks": len(new_track_ids),
"added_tracks": len(added_track_ids),
"removed_tracks": len(removed_track_ids),
"reordered_tracks": reordered_tracks,
"queued_tracks": queued_tracks,
"skipped_tracks": skipped_tracks,
"queue_errors": queue_errors,
"cancelled_removed_jobs": cancelled_removed_jobs,
"synced_at": now,
}
tracked_extra = row.extra if isinstance(row.extra, dict) else {}
if local_playlist_id:
tracked_extra = {
**tracked_extra,
"local_playlist_id": local_playlist_id,
}
TrackedPlaylistTable.update_row(
row.id,
{
"title": playlist.name,
"owner_name": (playlist.owner or {}).get("display_name")
if playlist.owner
else row.owner_name,
"status": "active",
"last_sync_at": now,
"next_sync_at": now
+ max(120, int(row.sync_interval_seconds or 900)),
"snapshot_track_ids": new_track_ids,
"snapshot_hash": _snapshot_hash(new_track_ids),
"last_result": {
**summary,
"removed_track_ids": removed_track_ids[:300],
"added_track_ids": added_track_ids[:300],
},
"last_error": None,
"extra": tracked_extra,
},
)
return summary
except Exception as error:
log.exception("Playlist sync failed for tracked_id=%s", tracked_id)
now = int(time.time())
TrackedPlaylistTable.update_row(
tracked_id,
{
"status": "failed",
"last_error": str(error),
"next_sync_at": now + 300,
"last_result": {
"success": False,
"tracked_id": tracked_id,
"error": str(error),
"synced_at": now,
},
},
)
return {
"success": False,
"tracked_id": tracked_id,
"error": str(error),
}
finally:
with self._lock:
self._processing.discard(tracked_id)
def set_auto_sync(
self, tracked_id: int, *, userid: int, enabled: bool
) -> dict[str, Any] | None:
row = TrackedPlaylistTable.get_by_id(tracked_id, userid=userid)
if not row:
return None
now = int(time.time())
updated = TrackedPlaylistTable.update_row(
tracked_id,
{
"auto_sync": bool(enabled),
"status": "active" if enabled else "paused",
"next_sync_at": now + max(120, int(row.sync_interval_seconds or 900)),
},
)
return _serialize_tracked_playlist(updated)
def untrack_playlist(self, tracked_id: int, *, userid: int) -> bool:
row = TrackedPlaylistTable.get_by_id(tracked_id, userid=userid)
if not row:
return False
TrackedPlaylistTable.update_row(
tracked_id,
{
"status": "deleted",
"auto_sync": False,
"next_sync_at": int(time.time()) + (10 * 365 * 24 * 3600),
},
)
return True
def _worker_loop(self) -> None:
while not self._stop.is_set():
try:
due = TrackedPlaylistTable.due_for_sync(
now_ts=int(time.time()), limit=20
)
for row in due:
if self._stop.is_set():
break
self.sync_tracked_playlist(row.id, userid=row.userid, force=False)
except Exception:
log.exception("Playlist tracking worker iteration failed")
self._stop.wait(self.poll_interval_seconds)
playlist_tracking_service = PlaylistTrackingService()
swingmusic/services/production_readiness.py
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from __future__ import annotations
import os
import re
from typing import Any
from swingmusic.config import UserConfig
from swingmusic.db.production import InviteTokenTable, UserRootDirOwnershipTable
from swingmusic.db.userdata import PluginTable, UserTable
from swingmusic.services.library_projection import get_owner_user, sync_owner_projection
from swingmusic.store.homepage import HomepageStore
from swingmusic.utils.auth import hash_password
def get_bootstrap_status() -> dict[str, Any]:
users = list(UserTable.get_all())
owner = next((u for u in users if "owner" in u.roles), None)
return {
"required": len(users) == 0,
"has_users": len(users) > 0,
"user_count": len(users),
"owner_exists": owner is not None,
"owner_username": owner.username if owner else None,
}
def _normalize_root_dirs(root_dirs: list[str] | None) -> list[str] | None:
if root_dirs is None:
return None
cleaned = [item.strip() for item in root_dirs if item and item.strip()]
return list(dict.fromkeys(cleaned))
def default_user_root_dir(username: str) -> str:
config = UserConfig()
if config.rootDirs:
base = config.rootDirs[0]
if base == "$home":
root = os.path.join(os.path.expanduser("~"), "Music")
else:
root = os.path.expanduser(base)
else:
root = os.path.join(os.path.expanduser("~"), "Music")
safe_username = re.sub(r"[^\w\-. ]", "", username).strip() or "user"
return os.path.join(root, "SwingMusic Users", safe_username)
def bootstrap_owner_user(
*,
username: str,
password: str,
root_dirs: list[str] | None = None,
) -> Any:
status = get_bootstrap_status()
if not status["required"]:
raise ValueError("Bootstrap is only available when no users exist")
if not username.strip() or not password:
raise ValueError("Username and password are required")
if UserTable.get_by_username(username):
raise ValueError("Username already exists")
UserTable.insert_one(
{
"username": username.strip(),
"password": hash_password(password),
"roles": ["owner", "admin", "user"],
}
)
owner = UserTable.get_by_username(username.strip())
if not owner:
raise ValueError("Failed to create owner")
if root_dirs is not None:
config = UserConfig()
config.rootDirs = _normalize_root_dirs(root_dirs) or []
# Ensure in-memory homepage structures include the new user.
HomepageStore.entries["recently_played"].add_new_user(owner.id)
sync_owner_projection(owner.id)
return owner
def create_invite_token(
*,
created_by: int,
roles: list[str] | None = None,
expires_in_seconds: int = 7 * 24 * 3600,
) -> Any:
return InviteTokenTable.create_token(
created_by=created_by,
roles=roles or ["user"],
expires_in_seconds=expires_in_seconds,
extra={"purpose": "user_onboarding"},
)
def accept_invite_token(
*,
token: str,
username: str,
password: str,
) -> Any:
if not username.strip() or not password:
raise ValueError("Username and password are required")
invite = InviteTokenTable.get_valid_token(token)
if not invite:
raise ValueError("Invite token is invalid or expired")
if UserTable.get_by_username(username.strip()):
raise ValueError("Username already exists")
UserTable.insert_one(
{
"username": username.strip(),
"password": hash_password(password),
"roles": invite.roles or ["user"],
}
)
user = UserTable.get_by_username(username.strip())
if not user:
raise ValueError("Failed to create user from invite")
InviteTokenTable.consume_token(token, used_by=user.id)
user_root = default_user_root_dir(user.username)
os.makedirs(user_root, exist_ok=True)
UserRootDirOwnershipTable.assign_paths(user.id, [user_root])
HomepageStore.entries["recently_played"].add_new_user(user.id)
return user
def ensure_owner_and_projection() -> None:
"""
Startup safety net for existing installs:
- Guarantees there is exactly one logical owner role holder.
- Projects existing indexed tracks to owner ownership without data loss.
"""
status = get_bootstrap_status()
if status["required"]:
return
owner = get_owner_user()
if not owner:
return
# Keep per-user homepage recents maps initialized.
for user in UserTable.get_all():
HomepageStore.entries["recently_played"].items.setdefault(user.id, [])
if UserRootDirOwnershipTable.get_paths(user.id):
continue
# Existing owner/admin users can continue to use configured roots.
if "owner" in user.roles or "admin" in user.roles:
UserRootDirOwnershipTable.assign_paths(user.id, UserConfig().rootDirs or [])
continue
user_root = default_user_root_dir(user.username)
os.makedirs(user_root, exist_ok=True)
UserRootDirOwnershipTable.assign_paths(user.id, [user_root])
sync_owner_projection(owner.id)
def ensure_lyrics_defaults() -> None:
"""
Force lyrics auto retrieval defaults to enabled in production mode.
"""
plugin = PluginTable.get_by_name("lyrics_finder")
if not plugin:
return
settings = plugin.settings or {}
settings["auto_download"] = True
settings["overide_unsynced"] = True
PluginTable.activate("lyrics_finder", True)
PluginTable.update_settings("lyrics_finder", settings)
swingmusic/services/rate_limiting.py
+234
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"""
Rate Limiting using DragonflyDB.
Provides distributed rate limiting using DragonflyDB's atomic INCR command
with automatic key expiration. This is more efficient than in-memory rate
limiting for distributed deployments and provides persistence across restarts.
"""
import logging
import time
from swingmusic.db.dragonfly_client import get_dragonfly_client
logger = logging.getLogger(__name__)
class RateLimiter:
"""
Token bucket / sliding window rate limiter using DragonflyDB.
Uses atomic Redis operations (INCR, EXPIRE) to implement rate limiting
that works across multiple server instances.
"""
def __init__(self):
self._client = None
@property
def client(self):
if self._client is None:
self._client = get_dragonfly_client()
return self._client
def _get_key(self, identifier: str, action: str) -> str:
"""Get the Redis key for a rate limit counter."""
return f"ratelimit:{action}:{identifier}"
def _get_window_key(self, identifier: str, action: str, window: int) -> str:
"""Get the Redis key for a sliding window rate limit."""
current_window = int(time.time() // window)
return f"ratelimit:{action}:{identifier}:{current_window}"
def is_allowed(
self, identifier: str, action: str, max_requests: int, window_seconds: int = 60
) -> tuple[bool, int, int]:
"""
Check if a request is allowed under the rate limit.
Uses a sliding window algorithm with DragonflyDB.
Args:
identifier: Unique identifier (e.g., user ID, IP address)
action: The action being rate limited (e.g., "login", "download")
max_requests: Maximum number of requests allowed in the window
window_seconds: Time window in seconds
Returns:
Tuple of (is_allowed, current_count, retry_after_seconds)
"""
if not self.client.is_available():
# If DragonflyDB is not available, allow the request
return True, 0, 0
try:
key = self._get_window_key(identifier, action, window_seconds)
# Use pipeline for atomic operations
pipe = self.client.client.pipeline()
# Increment counter
pipe.incr(key)
# Set expiry on first request (only if key is new)
pipe.expire(key, window_seconds, nx=True)
results = pipe.execute()
current_count = results[0]
if current_count <= max_requests:
return True, current_count, 0
else:
# Calculate retry after
ttl = self.client.client.ttl(key)
retry_after = max(1, ttl) if ttl > 0 else window_seconds
return False, current_count, retry_after
except Exception as e:
logger.error(f"Rate limit check failed: {e}")
# On error, allow the request
return True, 0, 0
def increment(self, identifier: str, action: str, window_seconds: int = 60) -> int:
"""
Increment the counter for an action without checking the limit.
Useful for tracking usage without enforcing limits.
Returns:
The new counter value
"""
if not self.client.is_available():
return 0
try:
key = self._get_window_key(identifier, action, window_seconds)
pipe = self.client.client.pipeline()
pipe.incr(key)
pipe.expire(key, window_seconds, nx=True)
results = pipe.execute()
return results[0]
except Exception as e:
logger.error(f"Rate limit increment failed: {e}")
return 0
def get_count(self, identifier: str, action: str, window_seconds: int = 60) -> int:
"""Get the current count for an action in the current window."""
if not self.client.is_available():
return 0
try:
key = self._get_window_key(identifier, action, window_seconds)
value = self.client.get(key)
return int(value) if value else 0
except Exception:
return 0
def reset(self, identifier: str, action: str) -> bool:
"""Reset the rate limit counter for an identifier and action."""
if not self.client.is_available():
return False
try:
# Delete all windows for this identifier/action
pattern = f"ratelimit:{action}:{identifier}:*"
keys = self.client.client.keys(pattern)
if keys:
self.client.client.delete(*keys)
return True
except Exception as e:
logger.error(f"Rate limit reset failed: {e}")
return False
def get_remaining(
self, identifier: str, action: str, max_requests: int, window_seconds: int = 60
) -> int:
"""Get the number of remaining requests allowed."""
current = self.get_count(identifier, action, window_seconds)
return max(0, max_requests - current)
class LoginRateLimiter(RateLimiter):
"""Rate limiter specifically for login attempts."""
# Default: 10 login attempts per minute
MAX_ATTEMPTS = 10
WINDOW_SECONDS = 60
def check_login(self, identifier: str) -> tuple[bool, int, int]:
"""Check if login is allowed for the given identifier."""
return self.is_allowed(
identifier, "login", self.MAX_ATTEMPTS, self.WINDOW_SECONDS
)
def record_failed_login(self, identifier: str) -> int:
"""Record a failed login attempt."""
return self.increment(identifier, "login", self.WINDOW_SECONDS)
def clear_failed_logins(self, identifier: str) -> bool:
"""Clear failed login attempts after successful login."""
return self.reset(identifier, "login")
class DownloadRateLimiter(RateLimiter):
"""Rate limiter specifically for downloads."""
# Default: 100 downloads per hour
MAX_DOWNLOADS = 100
WINDOW_SECONDS = 3600
def check_download(self, user_id: int) -> tuple[bool, int, int]:
"""Check if download is allowed for the given user."""
return self.is_allowed(
str(user_id), "download", self.MAX_DOWNLOADS, self.WINDOW_SECONDS
)
def record_download(self, user_id: int) -> int:
"""Record a download."""
return self.increment(str(user_id), "download", self.WINDOW_SECONDS)
class APIRateLimiter(RateLimiter):
"""Rate limiter for general API endpoints."""
# Default: 100 requests per minute per user
MAX_REQUESTS = 100
WINDOW_SECONDS = 60
def check_api_request(self, identifier: str) -> tuple[bool, int, int]:
"""Check if API request is allowed."""
return self.is_allowed(
identifier, "api", self.MAX_REQUESTS, self.WINDOW_SECONDS
)
# Global instances
rate_limiter = RateLimiter()
login_rate_limiter = LoginRateLimiter()
download_rate_limiter = DownloadRateLimiter()
api_rate_limiter = APIRateLimiter()
def get_rate_limiter() -> RateLimiter:
"""Get the global rate limiter instance."""
return rate_limiter
def get_login_rate_limiter() -> LoginRateLimiter:
"""Get the global login rate limiter instance."""
return login_rate_limiter
def get_download_rate_limiter() -> DownloadRateLimiter:
"""Get the global download rate limiter instance."""
return download_rate_limiter
def get_api_rate_limiter() -> APIRateLimiter:
"""Get the global API rate limiter instance."""
return api_rate_limiter
swingmusic/services/recap_service.py
+914
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"""
Year-in-Review Experience Service
This service provides comprehensive year-in-review generation including:
- Listening statistics and analytics
- Personalized music insights
- Video generation with Remotion
- Social sharing capabilities
- Interactive data visualization
"""
import datetime
import json
import logging
from dataclasses import asdict, dataclass
from enum import Enum
from typing import Any
from sqlalchemy import and_, func, select
from sqlalchemy.orm import Session
from swingmusic.config import USER_DATA_DIR
from swingmusic.db import db
from swingmusic.models.playlog import Playlog
from swingmusic.models.track import Track
logger = logging.getLogger(__name__)
class RecapTheme(Enum):
"""Available recap themes"""
MODERN = "modern"
RETRO = "retro"
MINIMAL = "minimal"
VIBRANT = "vibrant"
DARK = "dark"
LIGHT = "light"
@dataclass
class ListeningStats:
"""User listening statistics for a time period"""
total_minutes: int
total_tracks: int
total_artists: int
total_albums: int
unique_tracks: int
average_daily_minutes: float
most_played_track: dict | None
most_played_artist: dict | None
most_played_album: dict | None
top_genres: list[dict]
listening_streak: int
longest_session: int
favorite_time_of_day: str
discovery_rate: float
repeat_listen_rate: float
@dataclass
class MusicPersonality:
"""User music personality analysis"""
personality_type: str
traits: list[str]
description: str
diversity_score: float
exploration_score: float
loyalty_score: float
mood_profile: dict[str, float]
genre_preferences: dict[str, float]
audio_preferences: dict[str, Any]
@dataclass
class RecapData:
"""Complete year-in-review data package"""
user_id: int
year: int
stats: ListeningStats
personality: MusicPersonality
monthly_breakdown: list[dict]
top_tracks: list[dict]
top_artists: list[dict]
top_albums: list[dict]
discoveries: list[dict]
milestones: list[dict]
created_at: datetime.datetime
class RecapService:
"""Service for generating comprehensive year-in-review experiences"""
def __init__(self):
self.recap_dir = USER_DATA_DIR / "recaps"
self.recap_dir.mkdir(exist_ok=True)
async def generate_year_recap(self, user_id: int, year: int) -> RecapData:
"""
Generate comprehensive year-in-review data
Args:
user_id: User ID
year: Year to generate recap for
Returns:
Complete recap data
"""
try:
logger.info(f"Generating year recap for user {user_id}, year {year}")
# Get listening data for the year
start_date = datetime.datetime(year, 1, 1)
end_date = datetime.datetime(year, 12, 31, 23, 59, 59)
# Generate all components
stats = await self._calculate_listening_stats(user_id, start_date, end_date)
personality = await self._analyze_music_personality(
user_id, start_date, end_date
)
monthly_breakdown = await self._get_monthly_breakdown(user_id, year)
top_tracks = await self._get_top_tracks(user_id, start_date, end_date, 50)
top_artists = await self._get_top_artists(user_id, start_date, end_date, 25)
top_albums = await self._get_top_albums(user_id, start_date, end_date, 25)
discoveries = await self._get_new_discoveries(user_id, start_date, end_date)
milestones = await self._calculate_milestones(stats, personality)
recap_data = RecapData(
user_id=user_id,
year=year,
stats=stats,
personality=personality,
monthly_breakdown=monthly_breakdown,
top_tracks=top_tracks,
top_artists=top_artists,
top_albums=top_albums,
discoveries=discoveries,
milestones=milestones,
created_at=datetime.datetime.utcnow(),
)
# Save recap data
await self._save_recap_data(recap_data)
return recap_data
except Exception as e:
logger.error(f"Error generating year recap: {e}")
raise
async def get_recap_summary(self, user_id: int, year: int) -> dict | None:
"""
Get recap summary for quick display
Args:
user_id: User ID
year: Year to get summary for
Returns:
Recap summary or None if not available
"""
try:
recap_file = self.recap_dir / f"recap_{user_id}_{year}.json"
if not recap_file.exists():
return None
with open(recap_file) as f:
recap_data = json.load(f)
# Return summary data
return {
"year": recap_data["year"],
"total_minutes": recap_data["stats"]["total_minutes"],
"total_tracks": recap_data["stats"]["total_tracks"],
"top_track": recap_data["stats"]["most_played_track"],
"top_artist": recap_data["stats"]["most_played_artist"],
"personality_type": recap_data["personality"]["personality_type"],
"created_at": recap_data["created_at"],
}
except Exception as e:
logger.error(f"Error getting recap summary: {e}")
return None
async def _calculate_listening_stats(
self, user_id: int, start_date: datetime.datetime, end_date: datetime.datetime
) -> ListeningStats:
"""Calculate comprehensive listening statistics"""
try:
with Session(db.engine) as session:
# Get all plays for the period
plays_query = (
select(Playlog)
.where(
and_(
Playlog.user_id == user_id,
Playlog.played_at >= start_date,
Playlog.played_at <= end_date,
)
)
.order_by(Playlog.played_at)
)
plays = session.execute(plays_query).scalars().all()
if not plays:
return ListeningStats(
total_minutes=0,
total_tracks=0,
total_artists=0,
total_albums=0,
unique_tracks=0,
average_daily_minutes=0.0,
most_played_track=None,
most_played_artist=None,
most_played_album=None,
top_genres=[],
listening_streak=0,
longest_session=0,
favorite_time_of_day="",
discovery_rate=0.0,
repeat_listen_rate=0.0,
)
# Basic statistics
total_minutes = sum(play.duration or 0 for play in plays)
unique_tracks = len({play.track_id for play in plays})
total_tracks = len(plays)
# Get track details for artist/album counts
track_ids = list({play.track_id for play in plays})
tracks_query = select(Track).where(Track.id.in_(track_ids))
tracks = session.execute(tracks_query).scalars().all()
unique_artists = len({track.artist for track in tracks})
unique_albums = len({track.album for track in tracks})
# Most played items
track_counts = {}
artist_counts = {}
album_counts = {}
for play in plays:
track = next((t for t in tracks if t.id == play.track_id), None)
if track:
# Track counts
track_counts[track.id] = track_counts.get(track.id, 0) + 1
# Artist counts
artist_counts[track.artist] = (
artist_counts.get(track.artist, 0) + 1
)
# Album counts
album_counts[track.album] = album_counts.get(track.album, 0) + 1
most_played_track_id = (
max(track_counts, key=track_counts.get) if track_counts else None
)
most_played_track = None
if most_played_track_id:
track = next(
(t for t in tracks if t.id == most_played_track_id), None
)
if track:
most_played_track = {
"id": track.id,
"title": track.title,
"artist": track.artist,
"album": track.album,
"play_count": track_counts[most_played_track_id],
}
most_played_artist_name = (
max(artist_counts, key=artist_counts.get) if artist_counts else None
)
most_played_artist = (
{
"name": most_played_artist_name,
"play_count": artist_counts.get(most_played_artist_name, 0),
}
if most_played_artist_name
else None
)
most_played_album_name = (
max(album_counts, key=album_counts.get) if album_counts else None
)
most_played_album = (
{
"name": most_played_album_name,
"play_count": album_counts.get(most_played_album_name, 0),
}
if most_played_album_name
else None
)
# Calculate additional stats
days_in_period = (end_date - start_date).days + 1
average_daily_minutes = total_minutes / days_in_period
# Listening streak (consecutive days with plays)
listening_streak = await self._calculate_listening_streak(plays)
# Longest session
longest_session = await self._calculate_longest_session(plays)
# Favorite time of day
favorite_time_of_day = await self._calculate_favorite_time_of_day(plays)
# Discovery and repeat rates
discovery_rate = await self._calculate_discovery_rate(user_id, plays)
repeat_listen_rate = (
(total_tracks - unique_tracks) / total_tracks
if total_tracks > 0
else 0
)
return ListeningStats(
total_minutes=int(total_minutes),
total_tracks=total_tracks,
total_artists=unique_artists,
total_albums=unique_albums,
unique_tracks=unique_tracks,
average_daily_minutes=average_daily_minutes,
most_played_track=most_played_track,
most_played_artist=most_played_artist,
most_played_album=most_played_album,
top_genres=[], # Would need genre data from tracks
listening_streak=listening_streak,
longest_session=longest_session,
favorite_time_of_day=favorite_time_of_day,
discovery_rate=discovery_rate,
repeat_listen_rate=repeat_listen_rate,
)
except Exception as e:
logger.error(f"Error calculating listening stats: {e}")
raise
async def _analyze_music_personality(
self, user_id: int, start_date: datetime.datetime, end_date: datetime.datetime
) -> MusicPersonality:
"""Analyze user's music personality based on listening patterns"""
try:
# This is a simplified version - would integrate with audio analyzer for deeper insights
with Session(db.engine) as session:
plays_query = select(Playlog).where(
and_(
Playlog.user_id == user_id,
Playlog.played_at >= start_date,
Playlog.played_at <= end_date,
)
)
plays = session.execute(plays_query).scalars().all()
if not plays:
return MusicPersonality(
personality_type="Explorer",
traits=["Curious", "Open-minded"],
description="You love discovering new music",
diversity_score=0.8,
exploration_score=0.9,
loyalty_score=0.3,
mood_profile={"energetic": 0.6, "relaxed": 0.4},
genre_preferences={},
audio_preferences={},
)
# Analyze patterns
track_ids = list({play.track_id for play in plays})
tracks_query = select(Track).where(Track.id.in_(track_ids))
session.execute(tracks_query).scalars().all()
# Calculate metrics
unique_tracks = len(track_ids)
total_plays = len(plays)
diversity_score = unique_tracks / total_plays if total_plays > 0 else 0
# Determine personality type based on patterns
if diversity_score > 0.7:
personality_type = "Explorer"
traits = ["Curious", "Open-minded", "Adventurous"]
description = (
"You love discovering new music and exploring different genres"
)
elif diversity_score > 0.4:
personality_type = "Balanced"
traits = ["Versatile", "Open-minded", "Selective"]
description = (
"You enjoy both new discoveries and familiar favorites"
)
else:
personality_type = "Loyalist"
traits = ["Dedicated", "Selective", "Consistent"]
description = "You prefer to stick with what you love and dive deep into favorites"
return MusicPersonality(
personality_type=personality_type,
traits=traits,
description=description,
diversity_score=diversity_score,
exploration_score=diversity_score, # Simplified
loyalty_score=1.0 - diversity_score, # Simplified
mood_profile={
"energetic": 0.6,
"relaxed": 0.4,
}, # Would analyze audio features
genre_preferences={}, # Would analyze genre data
audio_preferences={}, # Would analyze audio features
)
except Exception as e:
logger.error(f"Error analyzing music personality: {e}")
raise
async def _get_monthly_breakdown(self, user_id: int, year: int) -> list[dict]:
"""Get monthly listening breakdown"""
try:
monthly_data = []
for month in range(1, 13):
start_date = datetime.datetime(year, month, 1)
if month == 12:
end_date = datetime.datetime(year, 12, 31, 23, 59, 59)
else:
end_date = datetime.datetime(
year, month + 1, 1
) - datetime.timedelta(seconds=1)
with Session(db.engine) as session:
plays_query = select(func.sum(Playlog.duration)).where(
and_(
Playlog.user_id == user_id,
Playlog.played_at >= start_date,
Playlog.played_at <= end_date,
)
)
total_minutes = session.execute(plays_query).scalar() or 0
# Get track count
count_query = select(func.count(Playlog.id)).where(
and_(
Playlog.user_id == user_id,
Playlog.played_at >= start_date,
Playlog.played_at <= end_date,
)
)
track_count = session.execute(count_query).scalar() or 0
monthly_data.append(
{
"month": month,
"month_name": datetime.date(year, month, 1).strftime("%B"),
"total_minutes": int(total_minutes),
"track_count": track_count,
}
)
return monthly_data
except Exception as e:
logger.error(f"Error getting monthly breakdown: {e}")
return []
async def _get_top_tracks(
self,
user_id: int,
start_date: datetime.datetime,
end_date: datetime.datetime,
limit: int,
) -> list[dict]:
"""Get top tracks for the period"""
try:
with Session(db.engine) as session:
# Get play counts
play_counts_query = (
select(
Playlog.track_id,
func.count(Playlog.id).label("play_count"),
func.sum(Playlog.duration).label("total_duration"),
)
.where(
and_(
Playlog.user_id == user_id,
Playlog.played_at >= start_date,
Playlog.played_at <= end_date,
)
)
.group_by(Playlog.track_id)
.order_by(func.count(Playlog.id).desc())
.limit(limit)
)
play_counts = session.execute(play_counts_query).all()
top_tracks = []
for play_count in play_counts:
track = session.get(Track, play_count.track_id)
if track:
top_tracks.append(
{
"id": track.id,
"title": track.title,
"artist": track.artist,
"album": track.album,
"play_count": play_count.play_count,
"total_duration": int(play_count.total_duration or 0),
"image": track.image,
}
)
return top_tracks
except Exception as e:
logger.error(f"Error getting top tracks: {e}")
return []
async def _get_top_artists(
self,
user_id: int,
start_date: datetime.datetime,
end_date: datetime.datetime,
limit: int,
) -> list[dict]:
"""Get top artists for the period"""
try:
with Session(db.engine) as session:
# Get artist play counts
artist_counts_query = (
select(
Track.artist,
func.count(Playlog.id).label("play_count"),
func.sum(Playlog.duration).label("total_duration"),
func.count(func.distinct(Track.id)).label("unique_tracks"),
)
.join(Playlog, Track.id == Playlog.track_id)
.where(
and_(
Playlog.user_id == user_id,
Playlog.played_at >= start_date,
Playlog.played_at <= end_date,
)
)
.group_by(Track.artist)
.order_by(func.count(Playlog.id).desc())
.limit(limit)
)
artist_counts = session.execute(artist_counts_query).all()
top_artists = []
for artist_count in artist_counts:
top_artists.append(
{
"name": artist_count.artist,
"play_count": artist_count.play_count,
"total_duration": int(artist_count.total_duration or 0),
"unique_tracks": artist_count.unique_tracks,
}
)
return top_artists
except Exception as e:
logger.error(f"Error getting top artists: {e}")
return []
async def _get_top_albums(
self,
user_id: int,
start_date: datetime.datetime,
end_date: datetime.datetime,
limit: int,
) -> list[dict]:
"""Get top albums for the period"""
try:
with Session(db.engine) as session:
# Get album play counts
album_counts_query = (
select(
Track.album,
Track.artist,
func.count(Playlog.id).label("play_count"),
func.sum(Playlog.duration).label("total_duration"),
func.count(func.distinct(Track.id)).label("unique_tracks"),
)
.join(Playlog, Track.id == Playlog.track_id)
.where(
and_(
Playlog.user_id == user_id,
Playlog.played_at >= start_date,
Playlog.played_at <= end_date,
)
)
.group_by(Track.album, Track.artist)
.order_by(func.count(Playlog.id).desc())
.limit(limit)
)
album_counts = session.execute(album_counts_query).all()
top_albums = []
for album_count in album_counts:
top_albums.append(
{
"name": album_count.album,
"artist": album_count.artist,
"play_count": album_count.play_count,
"total_duration": int(album_count.total_duration or 0),
"unique_tracks": album_count.unique_tracks,
}
)
return top_albums
except Exception as e:
logger.error(f"Error getting top albums: {e}")
return []
async def _get_new_discoveries(
self, user_id: int, start_date: datetime.datetime, end_date: datetime.datetime
) -> list[dict]:
"""Get tracks discovered during the period"""
try:
with Session(db.engine) as session:
# Get first play of each track in the period
first_plays_query = (
select(
Track.id,
Track.title,
Track.artist,
Track.album,
func.min(Playlog.played_at).label("first_played"),
func.count(Playlog.id).label("play_count"),
)
.join(Playlog, Track.id == Playlog.track_id)
.where(
and_(
Playlog.user_id == user_id,
Playlog.played_at >= start_date,
Playlog.played_at <= end_date,
)
)
.group_by(Track.id, Track.title, Track.artist, Track.album)
.order_by(func.min(Playlog.played_at).desc())
)
discoveries = session.execute(first_plays_query).all()
discovery_list = []
for discovery in discoveries:
# Check if this was actually discovered in this period (no plays before start_date)
prior_plays_query = select(func.count(Playlog.id)).where(
and_(
Playlog.user_id == user_id,
Playlog.track_id == discovery.id,
Playlog.played_at < start_date,
)
)
prior_plays = session.execute(prior_plays_query).scalar() or 0
if prior_plays == 0: # Truly discovered in this period
discovery_list.append(
{
"id": discovery.id,
"title": discovery.title,
"artist": discovery.artist,
"album": discovery.album,
"discovered_date": discovery.first_played.isoformat(),
"play_count": discovery.play_count,
}
)
return discovery_list[:50] # Limit to top 50 discoveries
except Exception as e:
logger.error(f"Error getting new discoveries: {e}")
return []
async def _calculate_milestones(
self, stats: ListeningStats, personality: MusicPersonality
) -> list[dict]:
"""Calculate user milestones"""
milestones = []
# Listening time milestones
if stats.total_minutes >= 50000: # ~833 hours
milestones.append(
{
"type": "listening_time",
"title": "Marathon Listener",
"description": f"Listened for {stats.total_minutes // 60} hours this year!",
"icon": "clock",
"level": "gold",
}
)
elif stats.total_minutes >= 25000: # ~417 hours
milestones.append(
{
"type": "listening_time",
"title": "Dedicated Listener",
"description": f"Listened for {stats.total_minutes // 60} hours this year!",
"icon": "clock",
"level": "silver",
}
)
elif stats.total_minutes >= 10000: # ~167 hours
milestones.append(
{
"type": "listening_time",
"title": "Music Enthusiast",
"description": f"Listened for {stats.total_minutes // 60} hours this year!",
"icon": "clock",
"level": "bronze",
}
)
# Discovery milestones
if stats.unique_tracks >= 10000:
milestones.append(
{
"type": "discovery",
"title": "Ultimate Explorer",
"description": f"Discovered {stats.unique_tracks} unique tracks!",
"icon": "compass",
"level": "gold",
}
)
elif stats.unique_tracks >= 5000:
milestones.append(
{
"type": "discovery",
"title": "Music Explorer",
"description": f"Discovered {stats.unique_tracks} unique tracks!",
"icon": "compass",
"level": "silver",
}
)
elif stats.unique_tracks >= 1000:
milestones.append(
{
"type": "discovery",
"title": "Curious Listener",
"description": f"Discovered {stats.unique_tracks} unique tracks!",
"icon": "compass",
"level": "bronze",
}
)
# Streak milestones
if stats.listening_streak >= 365:
milestones.append(
{
"type": "streak",
"title": "Everyday Listener",
"description": f"Listened music every day for {stats.listening_streak} days!",
"icon": "calendar",
"level": "gold",
}
)
elif stats.listening_streak >= 100:
milestones.append(
{
"type": "streak",
"title": "Consistent Listener",
"description": f"Listened music for {stats.listening_streak} consecutive days!",
"icon": "calendar",
"level": "silver",
}
)
elif stats.listening_streak >= 30:
milestones.append(
{
"type": "streak",
"title": "Monthly Streak",
"description": f"Listened music for {stats.listening_streak} consecutive days!",
"icon": "calendar",
"level": "bronze",
}
)
return milestones
async def _save_recap_data(self, recap_data: RecapData):
"""Save recap data to file"""
try:
recap_file = (
self.recap_dir / f"recap_{recap_data.user_id}_{recap_data.year}.json"
)
# Convert to dict and save
recap_dict = asdict(recap_data)
with open(recap_file, "w") as f:
json.dump(recap_dict, f, indent=2, default=str)
logger.info(f"Saved recap data to {recap_file}")
except Exception as e:
logger.error(f"Error saving recap data: {e}")
raise
async def _calculate_listening_streak(self, plays: list) -> int:
"""Calculate longest consecutive day streak"""
if not plays:
return 0
# Get unique days with plays
play_days = {play.played_at.date() for play in plays}
sorted_days = sorted(play_days)
max_streak = 0
current_streak = 0
for i, day in enumerate(sorted_days):
if i == 0:
current_streak = 1
else:
prev_day = sorted_days[i - 1]
if (day - prev_day).days == 1:
current_streak += 1
else:
current_streak = 1
max_streak = max(max_streak, current_streak)
return max_streak
async def _calculate_longest_session(self, plays: list) -> int:
"""Calculate longest listening session"""
if not plays:
return 0
longest_session = 0
current_session = 0
# Sort plays by time
sorted_plays = sorted(plays, key=lambda p: p.played_at)
for i, play in enumerate(sorted_plays):
current_session = play.duration or 0
# Check if next play is within 30 minutes (continuation of session)
if i < len(sorted_plays) - 1:
next_play = sorted_plays[i + 1]
time_diff = (next_play.played_at - play.played_at).total_seconds() / 60
if time_diff <= 30: # Within 30 minutes = same session
current_session += next_play.duration or 0
else:
longest_session = max(longest_session, current_session)
current_session = 0
else:
longest_session = max(longest_session, current_session)
return int(longest_session)
async def _calculate_favorite_time_of_day(self, plays: list) -> str:
"""Calculate favorite time of day for listening"""
if not plays:
return ""
# Count plays by hour
hour_counts = {}
for play in plays:
hour = play.played_at.hour
hour_counts[hour] = hour_counts.get(hour, 0) + 1
# Find most common hour
favorite_hour = max(hour_counts, key=hour_counts.get)
# Convert to time period
if 6 <= favorite_hour < 12:
return "Morning"
elif 12 <= favorite_hour < 18:
return "Afternoon"
elif 18 <= favorite_hour < 22:
return "Evening"
else:
return "Night"
async def _calculate_discovery_rate(self, user_id: int, plays: list) -> float:
"""Calculate rate of new music discovery"""
if not plays:
return 0.0
# Get first play date for each track
track_first_plays = {}
for play in plays:
if play.track_id not in track_first_plays:
track_first_plays[play.track_id] = play.played_at
# Count tracks first played during this period vs total
period_start = min(play.played_at for play in plays)
period_end = max(play.played_at for play in plays)
# Check if tracks were first discovered in this period
new_discoveries = 0
for _track_id, first_play in track_first_plays.items():
if period_start <= first_play <= period_end:
# Check if there were any plays before this period
# This is simplified - would need to query database for prior plays
new_discoveries += 1
return new_discoveries / len(track_first_plays) if track_first_plays else 0.0
# Global service instance
recap_service = RecapService()
swingmusic/services/recap_store.py
+586
View File
@@ -0,0 +1,586 @@
"""Recap generation and persistence using existing scrobble + in-memory stores."""
from __future__ import annotations
import calendar
import datetime as dt
import json
import secrets
from collections import defaultdict
from typing import Any
from sqlalchemy import text
from swingmusic.db.engine import DbEngine
from swingmusic.db.userdata import ScrobbleTable
from swingmusic.utils.stats import (
get_albums_in_period,
get_artists_in_period,
get_tracks_in_period,
)
class RecapStore:
def __init__(self):
self._ensure_schema()
def _ensure_schema(self):
with DbEngine.manager(commit=True) as session:
session.execute(
text(
"""
CREATE TABLE IF NOT EXISTS recap_cache (
user_id INTEGER NOT NULL,
year INTEGER NOT NULL,
recap_json TEXT NOT NULL,
generated_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (user_id, year)
)
"""
)
)
session.execute(
text(
"""
CREATE TABLE IF NOT EXISTS recap_shares (
token TEXT PRIMARY KEY,
user_id INTEGER NOT NULL,
year INTEGER NOT NULL,
recap_json TEXT NOT NULL,
include_personal_data INTEGER NOT NULL DEFAULT 0,
expires_at TEXT NOT NULL,
created_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP
)
"""
)
)
@staticmethod
def _year_bounds(year: int) -> tuple[int, int]:
start = int(dt.datetime(year, 1, 1, tzinfo=dt.UTC).timestamp())
end = int(dt.datetime(year + 1, 1, 1, tzinfo=dt.UTC).timestamp()) - 1
return start, end
@staticmethod
def _minutes(seconds: float | int) -> int:
return int(round(float(seconds or 0) / 60.0))
@staticmethod
def _compute_streak(day_values: set[dt.date]) -> int:
if not day_values:
return 0
days = sorted(day_values)
best = 1
current = 1
for prev, curr in zip(days, days[1:], strict=False):
if (curr - prev).days == 1:
current += 1
best = max(best, current)
else:
current = 1
return best
@staticmethod
def _build_personality(
total_tracks: int, unique_tracks: int, top_artists: list[dict[str, Any]]
) -> dict[str, Any]:
if total_tracks <= 0:
return {
"personality_type": "Balanced",
"description": "You kept a steady listening rhythm this year.",
"traits": ["Steady", "Curious", "Open-minded"],
}
diversity = unique_tracks / max(total_tracks, 1)
top_artist_share = 0.0
if top_artists:
top_artist_share = float(top_artists[0].get("play_count") or 0) / max(
total_tracks, 1
)
if diversity >= 0.72:
return {
"personality_type": "Explorer",
"description": "You explored a wide range of music and discovered new sounds often.",
"traits": ["Curious", "Adventurous", "Varied taste"],
}
if top_artist_share >= 0.35:
return {
"personality_type": "Loyalist",
"description": "You go deep on your favorite artists and keep strong repeat favorites.",
"traits": ["Focused", "Dedicated", "Consistent"],
}
return {
"personality_type": "Balanced",
"description": "You balance comfort favorites with enough variety to keep it fresh.",
"traits": ["Versatile", "Balanced", "Mood-driven"],
}
@staticmethod
def _build_milestones(
total_minutes: int, total_tracks: int, unique_tracks: int
) -> list[dict[str, Any]]:
milestones: list[dict[str, Any]] = []
def add_minutes(level: str, threshold: int):
milestones.append(
{
"type": "listening_time",
"icon": "clock",
"title": "Listening Time",
"description": f"Reached {threshold:,} minutes listened",
"level": level,
}
)
if total_minutes >= 20000:
add_minutes("gold", 20000)
elif total_minutes >= 8000:
add_minutes("silver", 8000)
elif total_minutes >= 2000:
add_minutes("bronze", 2000)
if total_tracks >= 5000:
milestones.append(
{
"type": "plays",
"icon": "play",
"title": "Heavy Rotation",
"description": "Played over 5,000 tracks this year",
"level": "gold",
}
)
elif total_tracks >= 1500:
milestones.append(
{
"type": "plays",
"icon": "play",
"title": "Regular Listener",
"description": "Played over 1,500 tracks this year",
"level": "silver",
}
)
if unique_tracks >= 1000:
milestones.append(
{
"type": "discovery",
"icon": "compass",
"title": "Discovery Mode",
"description": "Listened to more than 1,000 unique tracks",
"level": "gold",
}
)
elif unique_tracks >= 400:
milestones.append(
{
"type": "discovery",
"icon": "compass",
"title": "Explorer",
"description": "Listened to more than 400 unique tracks",
"level": "silver",
}
)
return milestones
def _get_cached_recap(self, user_id: int, year: int) -> dict[str, Any] | None:
with DbEngine.manager() as session:
row = (
session.execute(
text(
"""
SELECT recap_json
FROM recap_cache
WHERE user_id = :user_id
AND year = :year
"""
),
{"user_id": int(user_id), "year": int(year)},
)
.mappings()
.first()
)
if not row:
return None
try:
recap = json.loads(row["recap_json"])
return recap if isinstance(recap, dict) else None
except json.JSONDecodeError:
return None
def _save_recap(self, user_id: int, year: int, recap: dict[str, Any]):
with DbEngine.manager(commit=True) as session:
session.execute(
text(
"""
INSERT INTO recap_cache (user_id, year, recap_json, generated_at)
VALUES (:user_id, :year, :recap_json, CURRENT_TIMESTAMP)
ON CONFLICT(user_id, year) DO UPDATE SET
recap_json = excluded.recap_json,
generated_at = CURRENT_TIMESTAMP
"""
),
{
"user_id": int(user_id),
"year": int(year),
"recap_json": json.dumps(recap),
},
)
def get_available_years(self, user_id: int) -> list[int]:
years: set[int] = set()
try:
with DbEngine.manager() as session:
scrobble_rows = session.execute(
text(
"""
SELECT DISTINCT CAST(strftime('%Y', datetime(timestamp, 'unixepoch')) AS INTEGER) AS y
FROM scrobble
WHERE userid = :user_id
"""
),
{"user_id": int(user_id)},
)
for row in scrobble_rows:
y = row[0]
if y:
years.add(int(y))
cache_rows = session.execute(
text(
"""
SELECT DISTINCT year
FROM recap_cache
WHERE user_id = :user_id
"""
),
{"user_id": int(user_id)},
)
for row in cache_rows:
years.add(int(row[0]))
except Exception:
return []
return sorted(years, reverse=True)
def generate_recap(self, user_id: int, year: int) -> dict[str, Any] | None:
try:
start_ts, end_ts = self._year_bounds(int(year))
scrobbles = list(
ScrobbleTable.get_all_in_period(start_ts, end_ts, int(user_id))
)
if not scrobbles:
return None
tracks, total_tracks, total_duration = get_tracks_in_period(
start_ts, end_ts, int(user_id)
)
tracks = sorted(
tracks,
key=lambda t: int(getattr(t, "playduration", 0) or 0),
reverse=True,
)
top_tracks = []
for track in tracks[:50]:
artists = getattr(track, "artists", []) or []
artist_name = (
artists[0].get("name")
if artists and isinstance(artists[0], dict)
else "Unknown Artist"
)
top_tracks.append(
{
"id": track.trackhash,
"title": track.title,
"artist": artist_name,
"album": track.album,
"image": track.image,
"play_count": int(track.playcount or 0),
"total_duration": self._minutes(track.playduration),
}
)
artist_entries = get_artists_in_period(start_ts, end_ts, int(user_id))
top_artists = []
for item in artist_entries[:50]:
top_artists.append(
{
"name": item.get("artist", "Unknown Artist"),
"play_count": int(item.get("playcount", 0) or 0),
"total_duration": self._minutes(item.get("playduration", 0)),
"unique_tracks": len(item.get("tracks", {})),
}
)
albums = get_albums_in_period(start_ts, end_ts, int(user_id))
albums = sorted(
albums,
key=lambda a: int(getattr(a, "playduration", 0) or 0),
reverse=True,
)
top_albums = []
for album in albums[:30]:
album_artists = getattr(album, "albumartists", []) or []
artist_name = (
album_artists[0].get("name")
if album_artists and isinstance(album_artists[0], dict)
else "Unknown Artist"
)
top_albums.append(
{
"name": album.title,
"artist": artist_name,
"play_count": int(album.playcount or 0),
"total_duration": self._minutes(album.playduration),
"image": album.image,
}
)
unique_trackhashes = {entry.trackhash for entry in scrobbles}
day_values = {
dt.datetime.fromtimestamp(int(entry.timestamp), tz=dt.UTC).date()
for entry in scrobbles
}
monthly_seconds = defaultdict(int)
for entry in scrobbles:
month = dt.datetime.fromtimestamp(int(entry.timestamp), tz=dt.UTC).month
monthly_seconds[month] += int(entry.duration or 0)
monthly_breakdown = []
for month in range(1, 13):
monthly_breakdown.append(
{
"month": month,
"month_name": calendar.month_name[month],
"total_minutes": self._minutes(monthly_seconds[month]),
}
)
total_minutes = self._minutes(total_duration)
unique_tracks = len(unique_trackhashes)
recap = {
"year": int(year),
"generated_at": dt.datetime.now(dt.UTC).isoformat(),
"stats": {
"total_minutes": total_minutes,
"total_tracks": int(total_tracks),
"unique_tracks": unique_tracks,
"unique_artists": len({item.get("name") for item in top_artists}),
"listening_streak": self._compute_streak(day_values),
},
"personality": self._build_personality(
int(total_tracks), unique_tracks, top_artists
),
"top_tracks": top_tracks,
"top_artists": top_artists,
"top_albums": top_albums,
"monthly_breakdown": monthly_breakdown,
"milestones": self._build_milestones(
total_minutes, int(total_tracks), unique_tracks
),
"discoveries": {
"new_artists": max(0, len(top_artists) - 10),
"new_tracks": max(0, unique_tracks - 100),
},
}
self._save_recap(user_id, year, recap)
return recap
except Exception:
return None
def get_recap(
self, user_id: int, year: int, generate_if_missing: bool = False
) -> dict[str, Any] | None:
recap = self._get_cached_recap(user_id, year)
if recap:
return recap
if generate_if_missing:
return self.generate_recap(user_id, year)
return None
def get_summary(self, user_id: int, year: int) -> dict[str, Any] | None:
recap = self.get_recap(user_id, year, generate_if_missing=False)
if not recap:
return None
return {
"year": recap.get("year", year),
"stats": recap.get("stats", {}),
"personality": recap.get("personality", {}),
"milestones": recap.get("milestones", []),
}
def create_share_link(
self,
user_id: int,
year: int,
include_personal_data: bool,
expires_in_days: int,
) -> dict[str, Any] | None:
recap = self.get_recap(user_id, year, generate_if_missing=True)
if not recap:
return None
payload = recap
if not include_personal_data:
payload = {
**recap,
"top_tracks": [
{
**item,
"title": "Hidden",
"artist": "Hidden",
"album": "Hidden",
}
for item in recap.get("top_tracks", [])
],
}
token = secrets.token_urlsafe(24).replace("-", "").replace("_", "")[:32]
expires_at = dt.datetime.now(dt.UTC) + dt.timedelta(
days=max(1, min(3650, int(expires_in_days)))
)
with DbEngine.manager(commit=True) as session:
session.execute(
text(
"""
INSERT INTO recap_shares (
token,
user_id,
year,
recap_json,
include_personal_data,
expires_at,
created_at
)
VALUES (
:token,
:user_id,
:year,
:recap_json,
:include_personal_data,
:expires_at,
CURRENT_TIMESTAMP
)
"""
),
{
"token": token,
"user_id": int(user_id),
"year": int(year),
"recap_json": json.dumps(payload),
"include_personal_data": 1 if include_personal_data else 0,
"expires_at": expires_at.isoformat(),
},
)
return {
"share_token": token,
"year": int(year),
"expires_at": expires_at.isoformat(),
"include_personal_data": bool(include_personal_data),
}
def get_shared_recap(self, token: str) -> dict[str, Any] | None:
with DbEngine.manager() as session:
row = (
session.execute(
text(
"""
SELECT year, recap_json, expires_at
FROM recap_shares
WHERE token = :token
"""
),
{"token": str(token)},
)
.mappings()
.first()
)
if not row:
return None
try:
expires_at = dt.datetime.fromisoformat(row["expires_at"])
except Exception:
return None
if expires_at.tzinfo is None:
expires_at = expires_at.replace(tzinfo=dt.UTC)
if expires_at < dt.datetime.now(dt.UTC):
return None
try:
recap = json.loads(row["recap_json"])
except json.JSONDecodeError:
return None
return {
"year": int(row["year"]),
"recap": recap,
"expires_at": row["expires_at"],
}
def compare_years(
self, user_id: int, year1: int, year2: int
) -> dict[str, Any] | None:
recap1 = self.get_recap(user_id, year1, generate_if_missing=True)
recap2 = self.get_recap(user_id, year2, generate_if_missing=True)
if not recap1 or not recap2:
return None
stats1 = recap1.get("stats", {})
stats2 = recap2.get("stats", {})
minutes1 = int(stats1.get("total_minutes", 0) or 0)
minutes2 = int(stats2.get("total_minutes", 0) or 0)
tracks1 = int(stats1.get("total_tracks", 0) or 0)
tracks2 = int(stats2.get("total_tracks", 0) or 0)
def pct(old: int, new: int) -> float:
base = max(abs(old), 1)
return ((new - old) / base) * 100.0
return {
"year1": int(year1),
"year2": int(year2),
"listening_time_change": {
"absolute": minutes2 - minutes1,
"percentage": pct(minutes1, minutes2),
},
"tracks_change": {
"absolute": tracks2 - tracks1,
"percentage": pct(tracks1, tracks2),
},
"personality_change": {
"from": recap1.get("personality", {}).get(
"personality_type", "Unknown"
),
"to": recap2.get("personality", {}).get("personality_type", "Unknown"),
"changed": recap1.get("personality", {}).get("personality_type")
!= recap2.get("personality", {}).get("personality_type"),
},
}
recap_store = RecapStore()
swingmusic/services/recently_played_buffer.py
+220
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@@ -0,0 +1,220 @@
"""
Recently Played Buffer using DragonflyDB.
Provides instant access to recently played tracks using a fast circular buffer
stored in DragonflyDB. This eliminates the need for database queries for the
most common "recently played" use case.
"""
import json
import logging
import time
from typing import Any
from swingmusic.db.dragonfly_client import get_dragonfly_client
logger = logging.getLogger(__name__)
# Maximum number of tracks to keep in the recently played buffer
MAX_BUFFER_SIZE = 100
# TTL for recently played entries (30 days)
BUFFER_TTL = 30 * 24 * 60 * 60
class RecentlyPlayedBuffer:
"""
Manages recently played tracks using DragonflyDB lists.
Uses a circular buffer pattern with Redis lists (LPUSH + LTRIM)
to maintain a fixed-size buffer of recently played tracks per user.
"""
def __init__(self, max_size: int = MAX_BUFFER_SIZE):
self.max_size = max_size
self._client = None
@property
def client(self):
if self._client is None:
self._client = get_dragonfly_client()
return self._client
def _get_key(self, userid: int) -> str:
"""Get the Redis key for a user's recently played buffer."""
return f"recently_played:user:{userid}"
def add_track(self, userid: int, track_data: dict[str, Any]) -> bool:
"""
Add a track to the user's recently played buffer.
Args:
userid: The user ID
track_data: Track metadata including trackhash, title, artist, etc.
Returns:
True if successful, False otherwise
"""
if not self.client.is_available():
return False
try:
key = self._get_key(userid)
# Add timestamp to track data
entry = {
**track_data,
"played_at": int(time.time()),
}
# Use pipeline for atomic operations
pipe = self.client.client.pipeline()
# Push to front of list
pipe.lpush(key, json.dumps(entry))
# Trim to max size (keep only first max_size elements)
pipe.ltrim(key, 0, self.max_size - 1)
# Set TTL
pipe.expire(key, BUFFER_TTL)
pipe.execute()
logger.debug(f"Added track to recently played for user {userid}")
return True
except Exception as e:
logger.error(f"Failed to add track to recently played buffer: {e}")
return False
def get_recent_tracks(
self, userid: int, limit: int = 20, offset: int = 0
) -> list[dict[str, Any]]:
"""
Get recently played tracks for a user.
Args:
userid: The user ID
limit: Maximum number of tracks to return
offset: Number of tracks to skip
Returns:
List of track data dictionaries, most recent first
"""
if not self.client.is_available():
return []
try:
key = self._get_key(userid)
# Get range from list (LRANGE is 0-indexed, inclusive)
end = offset + limit - 1
results = self.client.client.lrange(key, offset, end)
tracks = []
for result in results:
try:
tracks.append(json.loads(result))
except json.JSONDecodeError:
continue
return tracks
except Exception as e:
logger.error(f"Failed to get recently played tracks: {e}")
return []
def get_track_count(self, userid: int) -> int:
"""Get the number of tracks in the user's recently played buffer."""
if not self.client.is_available():
return 0
try:
key = self._get_key(userid)
return self.client.client.llen(key)
except Exception:
return 0
def clear_buffer(self, userid: int) -> bool:
"""Clear the recently played buffer for a user."""
if not self.client.is_available():
return False
try:
key = self._get_key(userid)
self.client.client.delete(key)
return True
except Exception:
return False
def remove_track(self, userid: int, trackhash: str) -> bool:
"""
Remove a specific track from the buffer.
Note: This requires reading, filtering, and rewriting the list,
so it's more expensive than other operations.
"""
if not self.client.is_available():
return False
try:
key = self._get_key(userid)
# Get all tracks
all_tracks = self.client.client.lrange(key, 0, -1)
# Filter out the track to remove
filtered = []
for track_json in all_tracks:
track = json.loads(track_json)
if track.get("trackhash") != trackhash:
filtered.append(track_json)
# Delete and rewrite if changed
if len(filtered) != len(all_tracks):
pipe = self.client.client.pipeline()
pipe.delete(key)
if filtered:
pipe.rpush(key, *filtered)
pipe.expire(key, BUFFER_TTL)
pipe.execute()
return True
except Exception as e:
logger.error(f"Failed to remove track from buffer: {e}")
return False
def get_last_played_track(self, userid: int) -> dict[str, Any] | None:
"""Get the most recently played track for a user."""
tracks = self.get_recent_tracks(userid, limit=1)
return tracks[0] if tracks else None
def is_track_recently_played(
self, userid: int, trackhash: str, within_seconds: int = 3600
) -> bool:
"""
Check if a track was played recently (within the specified time).
Useful for preventing duplicate "recently played" entries.
"""
tracks = self.get_recent_tracks(userid, limit=10)
now = int(time.time())
for track in tracks:
if track.get("trackhash") == trackhash:
played_at = track.get("played_at", 0)
if now - played_at < within_seconds:
return True
return False
# Global instance
recently_played_buffer = RecentlyPlayedBuffer()
def get_recently_played_buffer() -> RecentlyPlayedBuffer:
"""Get the global recently played buffer instance."""
return recently_played_buffer
swingmusic/services/robust_statistics.py
+925
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@@ -0,0 +1,925 @@
"""
Robust Statistics System for SwingMusic
Prevents data loss with backup, validation, and integrity checks
"""
import hashlib
import json
import os
import shutil
import sqlite3
import threading
import time
from dataclasses import dataclass
from pathlib import Path
from typing import Any
from swingmusic import logger
from swingmusic.db.sqlite.utils import get_db_connection
@dataclass
class ListeningStats:
"""Listening statistics for a track"""
user_id: str
track_id: str
play_count: int
last_played: float
total_time: int # Total seconds listened
skip_count: int
favorite: bool
rating: int | None # 1-5 stars
created_at: float
updated_at: float
@dataclass
class ArtistStats:
"""Artist-level statistics"""
artist_id: str
artist_name: str
total_plays: int
total_time: int
unique_tracks: int
last_played: float
favorite_tracks: list[str]
@dataclass
class AlbumStats:
"""Album-level statistics"""
album_id: str
album_name: str
artist_name: str
total_plays: int
total_time: int
unique_tracks: int
last_played: float
completion_rate: float # Percentage of album listened to
@dataclass
class BackupEntry:
"""Backup entry metadata"""
backup_id: str
timestamp: float
backup_type: str # 'full', 'incremental', 'auto'
file_path: str
checksum: str
size: int
compressed: bool
class StatisticsValidator:
"""Validates statistics data integrity"""
@staticmethod
def validate_listening_data(data: dict[str, Any]) -> tuple[bool, list[str]]:
"""Validate listening statistics data"""
errors = []
# Required fields
required_fields = ["user_id", "track_id", "play_count", "last_played"]
for field in required_fields:
if field not in data:
errors.append(f"Missing required field: {field}")
# Data type validation
if "play_count" in data and not isinstance(data["play_count"], int):
errors.append("play_count must be an integer")
if "last_played" in data and not isinstance(data["last_played"], (int, float)):
errors.append("last_played must be a timestamp")
if "total_time" in data and not isinstance(data["total_time"], int):
errors.append("total_time must be an integer")
# Value validation
if "play_count" in data and data["play_count"] < 0:
errors.append("play_count cannot be negative")
if "total_time" in data and data["total_time"] < 0:
errors.append("total_time cannot be negative")
if "rating" in data and data["rating"] is not None:
if not isinstance(data["rating"], int) or not (1 <= data["rating"] <= 5):
errors.append("rating must be an integer between 1 and 5")
return len(errors) == 0, errors
@staticmethod
def validate_timestamp_consistency(stats: list[ListeningStats]) -> list[str]:
"""Validate timestamp consistency across statistics"""
errors = []
current_time = time.time()
for stat in stats:
# Check for future timestamps
if stat.last_played > current_time + 60: # Allow 1 minute buffer
errors.append(f"Future timestamp detected for track {stat.track_id}")
# Check for very old timestamps (before 2000)
if stat.last_played < 946684800: # Jan 1, 2000
errors.append(f"Suspicious old timestamp for track {stat.track_id}")
# Check if updated_at >= last_played
if stat.updated_at < stat.last_played:
errors.append(
f"updated_at before last_played for track {stat.track_id}"
)
return errors
@staticmethod
def calculate_checksum(data: Any) -> str:
"""Calculate SHA-256 checksum of data"""
if isinstance(data, str):
data_bytes = data.encode("utf-8")
elif isinstance(data, dict):
data_bytes = json.dumps(data, sort_keys=True).encode("utf-8")
else:
data_bytes = str(data).encode("utf-8")
return hashlib.sha256(data_bytes).hexdigest()
class StatisticsBackup:
"""Manages statistics backups with compression and verification"""
def __init__(self, backup_dir: str = None):
self.backup_dir = backup_dir or os.path.join(
Path.home(), ".swingmusic", "backups", "statistics"
)
os.makedirs(self.backup_dir, exist_ok=True)
# Backup configuration
self.max_backups = 10 # Maximum number of backups to keep
self.auto_backup_interval = 3600 # 1 hour in seconds
self.compress_backups = True
def create_backup(self, backup_type: str = "auto") -> BackupEntry:
"""Create a statistics backup"""
timestamp = time.time()
backup_id = f"stats_{backup_type}_{int(timestamp)}"
backup_file = os.path.join(self.backup_dir, f"{backup_id}.json")
try:
# Collect statistics data
stats_data = self._collect_statistics_data()
# Create backup entry
backup_entry = BackupEntry(
backup_id=backup_id,
timestamp=timestamp,
backup_type=backup_type,
file_path=backup_file,
checksum="",
size=0,
compressed=self.compress_backups,
)
# Write backup file
with open(backup_file, "w", encoding="utf-8") as f:
json.dump(stats_data, f, indent=2, ensure_ascii=False)
# Calculate checksum and size
backup_entry.checksum = StatisticsValidator.calculate_checksum(stats_data)
backup_entry.size = os.path.getsize(backup_file)
# Compress if enabled
if self.compress_backups:
backup_file = self._compress_backup(backup_file)
backup_entry.file_path = backup_file
backup_entry.size = os.path.getsize(backup_file)
logger.info(f"Created statistics backup: {backup_id}")
return backup_entry
except Exception as e:
logger.error(f"Failed to create statistics backup: {e}")
if os.path.exists(backup_file):
os.remove(backup_file)
raise
def _collect_statistics_data(self) -> dict[str, Any]:
"""Collect all statistics data from database"""
try:
with get_db_connection() as conn:
# Get listening statistics
cursor = conn.execute("""
SELECT
user_id,
trackhash as track_id,
playcount as play_count,
lastplayed as last_played,
total_time,
skip_count,
favorite,
rating,
created_at,
updated_at
FROM listening_stats
""")
listening_stats = [dict(row) for row in cursor.fetchall()]
# Get artist statistics
cursor = conn.execute("""
SELECT
artist_id,
artist_name,
total_plays,
total_time,
unique_tracks,
last_played,
favorite_tracks
FROM artist_stats
""")
artist_stats = [dict(row) for row in cursor.fetchall()]
# Get album statistics
cursor = conn.execute("""
SELECT
album_id,
album_name,
artist_name,
total_plays,
total_time,
unique_tracks,
last_played,
completion_rate
FROM album_stats
""")
album_stats = [dict(row) for row in cursor.fetchall()]
return {
"backup_timestamp": time.time(),
"listening_stats": listening_stats,
"artist_stats": artist_stats,
"album_stats": album_stats,
"version": "1.0",
}
except Exception as e:
logger.error(f"Error collecting statistics data: {e}")
return {}
def _compress_backup(self, file_path: str) -> str:
"""Compress backup file using gzip"""
try:
import gzip
compressed_path = file_path + ".gz"
with open(file_path, "rb") as f_in:
with gzip.open(compressed_path, "wb") as f_out:
shutil.copyfileobj(f_in, f_out)
# Remove uncompressed file
os.remove(file_path)
return compressed_path
except ImportError:
logger.warning("gzip not available, backup not compressed")
return file_path
except Exception as e:
logger.error(f"Error compressing backup: {e}")
return file_path
def restore_backup(self, backup_id: str) -> bool:
"""Restore statistics from backup"""
backup_file = None
try:
# Find backup file
if backup_id.endswith(".gz"):
backup_file = os.path.join(self.backup_dir, backup_id)
else:
backup_file = os.path.join(self.backup_dir, f"{backup_id}.json")
if not os.path.exists(backup_file):
backup_file = os.path.join(self.backup_dir, f"{backup_id}.json.gz")
if not os.path.exists(backup_file):
logger.error(f"Backup file not found: {backup_id}")
return False
# Load backup data
stats_data = self._load_backup_file(backup_file)
if not stats_data:
logger.error("Failed to load backup data")
return False
# Restore data to database
success = self._restore_statistics_data(stats_data)
if success:
logger.info(
f"Successfully restored statistics from backup: {backup_id}"
)
else:
logger.error(f"Failed to restore statistics from backup: {backup_id}")
return success
except Exception as e:
logger.error(f"Error restoring backup {backup_id}: {e}")
return False
def _load_backup_file(self, file_path: str) -> dict[str, Any] | None:
"""Load backup file (compressed or uncompressed)"""
try:
if file_path.endswith(".gz"):
import gzip
with gzip.open(file_path, "rt", encoding="utf-8") as f:
return json.load(f)
else:
with open(file_path, encoding="utf-8") as f:
return json.load(f)
except Exception as e:
logger.error(f"Error loading backup file {file_path}: {e}")
return None
def _restore_statistics_data(self, stats_data: dict[str, Any]) -> bool:
"""Restore statistics data to database"""
try:
with get_db_connection() as conn:
# Clear existing statistics
conn.execute("DELETE FROM listening_stats")
conn.execute("DELETE FROM artist_stats")
conn.execute("DELETE FROM album_stats")
# Restore listening statistics
if "listening_stats" in stats_data:
for stat in stats_data["listening_stats"]:
conn.execute(
"""
INSERT INTO listening_stats (
user_id, trackhash, playcount, lastplayed, total_time,
skip_count, favorite, rating, created_at, updated_at
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""",
(
stat["user_id"],
stat["track_id"],
stat["play_count"],
stat["last_played"],
stat["total_time"],
stat.get("skip_count", 0),
stat.get("favorite", False),
stat.get("rating"),
stat.get("created_at", time.time()),
stat.get("updated_at", time.time()),
),
)
# Restore artist statistics
if "artist_stats" in stats_data:
for stat in stats_data["artist_stats"]:
conn.execute(
"""
INSERT INTO artist_stats (
artist_id, artist_name, total_plays, total_time,
unique_tracks, last_played, favorite_tracks
) VALUES (?, ?, ?, ?, ?, ?, ?)
""",
(
stat["artist_id"],
stat["artist_name"],
stat["total_plays"],
stat["total_time"],
stat["unique_tracks"],
stat["last_played"],
json.dumps(stat.get("favorite_tracks", [])),
),
)
# Restore album statistics
if "album_stats" in stats_data:
for stat in stats_data["album_stats"]:
conn.execute(
"""
INSERT INTO album_stats (
album_id, album_name, artist_name, total_plays,
total_time, unique_tracks, last_played, completion_rate
) VALUES (?, ?, ?, ?, ?, ?, ?, ?)
""",
(
stat["album_id"],
stat["album_name"],
stat["artist_name"],
stat["total_plays"],
stat["total_time"],
stat["unique_tracks"],
stat["last_played"],
stat.get("completion_rate", 0.0),
),
)
conn.commit()
return True
except Exception as e:
logger.error(f"Error restoring statistics data: {e}")
return False
def list_backups(self) -> list[BackupEntry]:
"""List all available backups"""
backups = []
try:
for file_name in os.listdir(self.backup_dir):
if file_name.endswith((".json", ".gz")):
file_path = os.path.join(self.backup_dir, file_name)
# Extract backup info from filename
parts = file_name.replace(".json", "").replace(".gz", "").split("_")
if len(parts) >= 3:
backup_type = parts[1]
timestamp = float(parts[2])
backup_entry = BackupEntry(
backup_id=file_name.replace(".json", "").replace(".gz", ""),
timestamp=timestamp,
backup_type=backup_type,
file_path=file_path,
checksum="",
size=os.path.getsize(file_path),
compressed=file_path.endswith(".gz"),
)
backups.append(backup_entry)
# Sort by timestamp (newest first)
backups.sort(key=lambda x: x.timestamp, reverse=True)
except Exception as e:
logger.error(f"Error listing backups: {e}")
return backups
def cleanup_old_backups(self):
"""Remove old backups, keeping only the most recent ones"""
backups = self.list_backups()
if len(backups) > self.max_backups:
# Keep the most recent backups
backups[: self.max_backups]
backups_to_remove = backups[self.max_backups :]
for backup in backups_to_remove:
try:
os.remove(backup.file_path)
logger.info(f"Removed old backup: {backup.backup_id}")
except Exception as e:
logger.error(f"Error removing backup {backup.backup_id}: {e}")
class RobustStatisticsManager:
"""Robust statistics manager with backup and validation"""
def __init__(self):
self.backup_manager = StatisticsBackup()
self.validator = StatisticsValidator()
self.last_backup_time = 0
self.backup_lock = threading.Lock()
# Start auto-backup thread
self._start_auto_backup()
def _start_auto_backup(self):
"""Start automatic backup thread"""
def backup_worker():
while True:
time.sleep(self.backup_manager.auto_backup_interval)
try:
self._create_auto_backup()
except Exception as e:
logger.error(f"Auto-backup failed: {e}")
backup_thread = threading.Thread(target=backup_worker, daemon=True)
backup_thread.start()
def _create_auto_backup(self):
"""Create automatic backup"""
with self.backup_lock:
try:
self.backup_manager.create_backup("auto")
self.last_backup_time = time.time()
self.backup_manager.cleanup_old_backups()
except Exception as e:
logger.error(f"Auto-backup failed: {e}")
async def update_listening_stats(
self, user_id: str, track_id: str, listening_data: dict[str, Any]
) -> bool:
"""Update statistics with data integrity checks"""
try:
# Validate data before storage
is_valid, errors = self.validator.validate_listening_data(listening_data)
if not is_valid:
logger.error(f"Invalid listening data: {errors}")
return False
# Create backup before update
backup_success = self._create_update_backup(user_id)
if not backup_success:
logger.warning("Failed to create backup before statistics update")
# Update with transaction
with get_db_connection() as conn:
conn.execute("BEGIN TRANSACTION")
try:
# Update or insert listening stats
cursor = conn.execute(
"""
SELECT playcount, total_time, skip_count, favorite, rating
FROM listening_stats
WHERE user_id = ? AND trackhash = ?
""",
(user_id, track_id),
)
existing = cursor.fetchone()
if existing:
# Update existing record
new_play_count = existing["playcount"] + listening_data.get(
"play_count", 1
)
new_total_time = existing["total_time"] + listening_data.get(
"duration", 0
)
new_skip_count = existing["skip_count"] + listening_data.get(
"skip_count", 0
)
conn.execute(
"""
UPDATE listening_stats
SET playcount = ?, lastplayed = ?, total_time = ?,
skip_count = ?, updated_at = ?
WHERE user_id = ? AND trackhash = ?
""",
(
new_play_count,
listening_data.get("last_played", time.time()),
new_total_time,
new_skip_count,
time.time(),
user_id,
track_id,
),
)
else:
# Insert new record
conn.execute(
"""
INSERT INTO listening_stats (
user_id, trackhash, playcount, lastplayed, total_time,
skip_count, favorite, rating, created_at, updated_at
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""",
(
user_id,
track_id,
listening_data.get("play_count", 1),
listening_data.get("last_played", time.time()),
listening_data.get("duration", 0),
listening_data.get("skip_count", 0),
listening_data.get("favorite", False),
listening_data.get("rating"),
time.time(),
time.time(),
),
)
# Update artist and album statistics
await self._update_artist_stats(conn, user_id, track_id)
await self._update_album_stats(conn, user_id, track_id)
conn.commit()
# Verify integrity after update
await self._verify_integrity(user_id)
return True
except Exception as e:
conn.rollback()
logger.error(f"Error updating statistics: {e}")
# Attempt to restore from backup
if backup_success:
self._restore_from_backup(user_id)
return False
except Exception as e:
logger.error(f"Error in update_listening_stats: {e}")
return False
async def _update_artist_stats(
self, conn: sqlite3.Connection, user_id: str, track_id: str
):
"""Update artist-level statistics"""
try:
# Get track information
cursor = conn.execute(
"""
SELECT artist, album FROM tracks WHERE trackhash = ?
""",
(track_id,),
)
track_info = cursor.fetchone()
if not track_info:
return
artist = track_info["artist"]
# Update artist statistics
cursor = conn.execute(
"""
SELECT total_plays, total_time, unique_tracks, last_played
FROM artist_stats
WHERE artist_id = ? AND user_id = ?
""",
(artist, user_id),
)
existing = cursor.fetchone()
if existing:
# Update existing
cursor = conn.execute(
"""
SELECT COUNT(DISTINCT trackhash) as unique_count
FROM listening_stats
WHERE user_id = ? AND trackhash IN (
SELECT trackhash FROM tracks WHERE artist = ?
)
""",
(user_id, artist),
)
unique_tracks = cursor.fetchone()["unique_count"]
conn.execute(
"""
UPDATE artist_stats
SET total_plays = total_plays + 1,
total_time = total_time + ?,
unique_tracks = ?,
last_played = ?
WHERE artist_id = ? AND user_id = ?
""",
(
track_info.get("duration", 0),
unique_tracks,
time.time(),
artist,
user_id,
),
)
else:
# Insert new
conn.execute(
"""
INSERT INTO artist_stats (
artist_id, artist_name, user_id, total_plays, total_time,
unique_tracks, last_played, favorite_tracks
) VALUES (?, ?, ?, 1, ?, 1, ?, ?)
""",
(
artist,
artist,
user_id,
track_info.get("duration", 0),
time.time(),
json.dumps([]),
),
)
except Exception as e:
logger.error(f"Error updating artist stats: {e}")
async def _update_album_stats(
self, conn: sqlite3.Connection, user_id: str, track_id: str
):
"""Update album-level statistics"""
try:
# Get track information
cursor = conn.execute(
"""
SELECT artist, album FROM tracks WHERE trackhash = ?
""",
(track_id,),
)
track_info = cursor.fetchone()
if not track_info:
return
album = track_info["album"]
artist = track_info["artist"]
# Update album statistics
cursor = conn.execute(
"""
SELECT total_plays, total_time, unique_tracks, last_played
FROM album_stats
WHERE album_id = ? AND user_id = ?
""",
(album, user_id),
)
existing = cursor.fetchone()
if existing:
# Update existing
cursor = conn.execute(
"""
SELECT COUNT(DISTINCT trackhash) as unique_count
FROM listening_stats
WHERE user_id = ? AND trackhash IN (
SELECT trackhash FROM tracks WHERE album = ?
)
""",
(user_id, album),
)
unique_tracks = cursor.fetchone()["unique_count"]
conn.execute(
"""
UPDATE album_stats
SET total_plays = total_plays + 1,
total_time = total_time + ?,
unique_tracks = ?,
last_played = ?
WHERE album_id = ? AND user_id = ?
""",
(
track_info.get("duration", 0),
unique_tracks,
time.time(),
album,
user_id,
),
)
else:
# Insert new
conn.execute(
"""
INSERT INTO album_stats (
album_id, album_name, artist_name, user_id, total_plays,
total_time, unique_tracks, last_played, completion_rate
) VALUES (?, ?, ?, ?, 1, ?, 1, ?, 0.0)
""",
(
album,
album,
artist,
user_id,
track_info.get("duration", 0),
time.time(),
),
)
except Exception as e:
logger.error(f"Error updating album stats: {e}")
async def _verify_integrity(self, user_id: str):
"""Verify statistics integrity after update"""
try:
with get_db_connection() as conn:
# Get all listening stats for user
cursor = conn.execute(
"""
SELECT * FROM listening_stats WHERE user_id = ?
""",
(user_id,),
)
stats = [ListeningStats(**dict(row)) for row in cursor.fetchall()]
# Validate timestamp consistency
errors = self.validator.validate_timestamp_consistency(stats)
if errors:
logger.warning(
f"Statistics integrity issues for user {user_id}: {errors}"
)
except Exception as e:
logger.error(f"Error verifying statistics integrity: {e}")
def _create_update_backup(self, user_id: str) -> bool:
"""Create backup before statistics update"""
try:
with self.backup_lock:
f"pre_update_{user_id}_{int(time.time())}"
self.backup_manager.create_backup("update")
return True
except Exception as e:
logger.error(f"Failed to create update backup: {e}")
return False
def _restore_from_backup(self, user_id: str):
"""Restore statistics from most recent backup"""
try:
backups = self.backup_manager.list_backups()
if backups:
# Find the most recent backup
latest_backup = backups[0]
success = self.backup_manager.restore_backup(latest_backup.backup_id)
if success:
logger.info(
f"Restored statistics from backup: {latest_backup.backup_id}"
)
else:
logger.error(
f"Failed to restore from backup: {latest_backup.backup_id}"
)
except Exception as e:
logger.error(f"Error restoring from backup: {e}")
def get_statistics_summary(self, user_id: str) -> dict[str, Any]:
"""Get statistics summary for user"""
try:
with get_db_connection() as conn:
# Get overall statistics
cursor = conn.execute(
"""
SELECT
COUNT(*) as total_tracks,
SUM(playcount) as total_plays,
SUM(total_time) as total_time,
COUNT(DISTINCT artist) as unique_artists,
COUNT(DISTINCT album) as unique_albums
FROM listening_stats ls
JOIN tracks t ON ls.trackhash = t.trackhash
WHERE ls.user_id = ?
""",
(user_id,),
)
overall = cursor.fetchone()
# Get top tracks
cursor = conn.execute(
"""
SELECT t.title, t.artist, ls.playcount, ls.lastplayed
FROM listening_stats ls
JOIN tracks t ON ls.trackhash = t.trackhash
WHERE ls.user_id = ?
ORDER BY ls.playcount DESC
LIMIT 10
""",
(user_id,),
)
top_tracks = [dict(row) for row in cursor.fetchall()]
# Get top artists
cursor = conn.execute(
"""
SELECT artist_name, total_plays, total_time
FROM artist_stats
WHERE user_id = ?
ORDER BY total_plays DESC
LIMIT 10
""",
(user_id,),
)
top_artists = [dict(row) for row in cursor.fetchall()]
return {
"overall": dict(overall) if overall else {},
"top_tracks": top_tracks,
"top_artists": top_artists,
"last_backup": self.last_backup_time,
}
except Exception as e:
logger.error(f"Error getting statistics summary: {e}")
return {}
# Global robust statistics manager instance
robust_statistics_manager = RobustStatisticsManager()
swingmusic/services/setup_state.py
+279
View File
@@ -0,0 +1,279 @@
from __future__ import annotations
import threading
from typing import Any
from swingmusic.config import UserConfig
from swingmusic.db.production import SetupStateTable, UserRootDirOwnershipTable
from swingmusic.db.userdata import UserTable
from swingmusic.lib.index import run_index_pipeline
from swingmusic.services.production_readiness import bootstrap_owner_user
_index_lock = threading.RLock()
_index_thread: threading.Thread | None = None
def _normalize_root_dirs(root_dirs: list[str] | None) -> list[str]:
if not root_dirs:
return []
cleaned = [item.strip() for item in root_dirs if item and item.strip()]
return list(dict.fromkeys(cleaned))
def _owner_user():
users = list(UserTable.get_all())
owners = [user for user in users if "owner" in user.roles]
if owners:
return owners[0]
admins = [user for user in users if "admin" in user.roles]
if admins:
return admins[0]
return users[0] if users else None
def _primary_music_dir() -> str | None:
root_dirs = UserConfig().rootDirs or []
if not root_dirs:
return None
return root_dirs[0]
def _reconcile_legacy_ready_state() -> Any:
row = SetupStateTable.ensure_singleton()
owner = _owner_user()
primary_dir = _primary_music_dir()
owner_created = owner is not None
directory_configured = bool(primary_dir)
legacy_ready = owner_created and directory_configured and row.index_state == "idle"
if legacy_ready and not row.setup_completed:
row = SetupStateTable.update_state(
{
"setup_completed": True,
"owner_userid": owner.id if owner else None,
"primary_music_dir": primary_dir,
"index_state": "completed",
"index_progress": 100.0,
"index_message": "Setup inferred from existing installation",
}
)
return row
def get_setup_status() -> dict[str, Any]:
row = _reconcile_legacy_ready_state()
users = list(UserTable.get_all())
owner = _owner_user()
primary_dir = row.primary_music_dir or _primary_music_dir()
owner_created = owner is not None
directory_configured = bool(primary_dir)
initial_index_completed = row.index_state == "completed"
setup_completed = bool(
row.setup_completed
and owner_created
and directory_configured
and initial_index_completed
)
required = not setup_completed
if not owner_created:
stage = "owner"
elif not directory_configured:
stage = "directory"
elif not initial_index_completed:
stage = "indexing"
else:
stage = "completed"
return {
"required": required,
"setup_completed": setup_completed,
"stage": stage,
"needs_owner": stage == "owner",
"needs_directory": stage == "directory",
"needs_index": stage == "indexing",
"owner_created": owner_created,
"owner_username": owner.username if owner else None,
"owner_userid": owner.id if owner else None,
"directory_configured": directory_configured,
"primary_music_dir": primary_dir,
"index_state": row.index_state,
"index_progress": float(row.index_progress or 0.0),
"index_message": row.index_message,
"initial_index_completed": initial_index_completed,
"has_users": len(users) > 0,
"user_count": len(users),
}
def _set_index_state(
state: str, progress: float, message: str, extra: dict[str, Any] | None = None
):
SetupStateTable.mark_index_progress(
state=state,
progress=progress,
message=message,
extra=extra,
)
def _run_initial_index():
try:
_set_index_state("running", 1.0, "Starting initial index")
def _progress(state: str, progress: float, message: str):
_set_index_state(state, progress, message)
run_index_pipeline(progress_callback=_progress)
status = get_setup_status()
SetupStateTable.update_state(
{
"setup_completed": bool(
status["owner_created"] and status["directory_configured"]
),
"index_state": "completed",
"index_progress": 100.0,
"index_message": "Initial index completed",
"owner_userid": status.get("owner_userid"),
"primary_music_dir": status.get("primary_music_dir"),
}
)
except Exception as error:
SetupStateTable.update_state(
{
"setup_completed": False,
"index_state": "failed",
"index_message": str(error),
}
)
finally:
global _index_thread
with _index_lock:
_index_thread = None
def trigger_initial_index(force: bool = False) -> bool:
global _index_thread
with _index_lock:
if _index_thread and _index_thread.is_alive():
return False
row = SetupStateTable.ensure_singleton()
if not force and row.index_state == "running":
return False
SetupStateTable.update_state(
{
"index_state": "queued",
"index_progress": 0.0,
"index_message": "Queued initial index",
}
)
_index_thread = threading.Thread(
target=_run_initial_index,
daemon=True,
name="swingmusic-setup-index",
)
_index_thread.start()
return True
def bootstrap_setup(
*,
username: str,
password: str,
root_dirs: list[str] | None = None,
):
existing_users = list(UserTable.get_all())
if existing_users:
raise ValueError(
"Setup bootstrap is only available before any user account exists"
)
normalized_root_dirs = _normalize_root_dirs(root_dirs)
if not normalized_root_dirs:
raise ValueError("At least one primary music directory is required")
owner = bootstrap_owner_user(
username=username,
password=password,
root_dirs=normalized_root_dirs,
)
primary_dir = (
normalized_root_dirs[0] if normalized_root_dirs else _primary_music_dir()
)
SetupStateTable.update_state(
{
"owner_userid": owner.id,
"primary_music_dir": primary_dir,
"setup_completed": False,
"index_state": "queued",
"index_progress": 0.0,
"index_message": "Bootstrap complete. Initial index queued.",
"extra": {
"onboarding_version": 1,
},
}
)
trigger_initial_index(force=True)
return owner
def configure_primary_directory(
*,
root_dirs: list[str],
) -> bool:
"""
Configure primary music directories when setup is incomplete and owner already exists.
"""
normalized_root_dirs = _normalize_root_dirs(root_dirs)
if not normalized_root_dirs:
raise ValueError("At least one primary music directory is required")
owner = _owner_user()
if not owner:
raise ValueError(
"Owner account must exist before configuring music directories"
)
config = UserConfig()
config.rootDirs = normalized_root_dirs
UserRootDirOwnershipTable.assign_paths(owner.id, normalized_root_dirs)
SetupStateTable.update_state(
{
"owner_userid": owner.id,
"primary_music_dir": normalized_root_dirs[0],
"setup_completed": False,
"index_state": "queued",
"index_progress": 0.0,
"index_message": "Primary directory configured. Initial index queued.",
"extra": {
"onboarding_version": 1,
"directory_configured_at": "setup_api",
},
}
)
return trigger_initial_index(force=True)
def is_setup_complete() -> bool:
status = get_setup_status()
return bool(status["setup_completed"])
def resume_pending_index_if_needed() -> bool:
status = get_setup_status()
if status["index_state"] in {"queued", "running"} and not status["setup_completed"]:
return trigger_initial_index(force=True)
return False
swingmusic/services/songlink_client.py
+420
View File
@@ -0,0 +1,420 @@
"""
Song.link / Odesli API Client - FREE
Song.link provides a free API to map music URLs across different streaming services.
Given a Spotify URL/ID, it can find equivalent tracks on:
- Tidal
- Qobuz
- Amazon Music
- Deezer
- Apple Music
- YouTube Music
- SoundCloud
API Documentation: https://linktree.docs.apiary.io/
Rate Limit: ~10 requests per minute (handled automatically)
"""
import logging
import time
from dataclasses import dataclass
import requests
logger = logging.getLogger(__name__)
# Song.link API base URL
SONGLINK_API_BASE = "https://api.song.link/v1-alpha.1"
@dataclass
class PlatformLink:
"""Link to a track on a specific platform"""
platform: str
url: str
entity_type: str # track, album, playlist
id: str | None = None
native_uri: str | None = None
@dataclass
class CrossPlatformLinks:
"""Cross-platform links for a single track"""
spotify_id: str
isrc: str | None
links: dict[str, PlatformLink]
# Convenience properties
@property
def tidal_url(self) -> str | None:
return self.links.get("tidal", {}).url if "tidal" in self.links else None
@property
def qobuz_url(self) -> str | None:
return self.links.get("qobuz", {}).url if "qobuz" in self.links else None
@property
def amazon_url(self) -> str | None:
return (
self.links.get("amazonMusic", {}).url
if "amazonMusic" in self.links
else None
)
@property
def deezer_url(self) -> str | None:
return self.links.get("deezer", {}).url if "deezer" in self.links else None
@property
def apple_url(self) -> str | None:
return (
self.links.get("appleMusic", {}).url if "appleMusic" in self.links else None
)
@property
def youtube_url(self) -> str | None:
return self.links.get("youtube", {}).url if "youtube" in self.links else None
@property
def youtube_music_url(self) -> str | None:
return (
self.links.get("youtubeMusic", {}).url
if "youtubeMusic" in self.links
else None
)
@property
def soundcloud_url(self) -> str | None:
return (
self.links.get("soundcloud", {}).url if "soundcloud" in self.links else None
)
@dataclass
class TrackAvailability:
"""Track availability across platforms"""
spotify_id: str
isrc: str | None = None
tidal: bool = False
qobuz: bool = False
amazon: bool = False
deezer: bool = False
apple: bool = False
youtube: bool = False
youtube_music: bool = False
soundcloud: bool = False
tidal_url: str | None = None
qobuz_url: str | None = None
amazon_url: str | None = None
deezer_url: str | None = None
apple_url: str | None = None
youtube_url: str | None = None
youtube_music_url: str | None = None
soundcloud_url: str | None = None
class SongLinkClient:
"""
Song.link API Client - FREE
Maps Spotify tracks to other streaming services.
Rate limited to ~10 requests per minute.
"""
# Platform name mapping
PLATFORM_NAMES = {
"spotify": "Spotify",
"tidal": "Tidal",
"qobuz": "Qobuz",
"amazonMusic": "Amazon Music",
"deezer": "Deezer",
"appleMusic": "Apple Music",
"youtube": "YouTube",
"youtubeMusic": "YouTube Music",
"soundcloud": "SoundCloud",
"napster": "Napster",
"pandora": "Pandora",
}
def __init__(self):
self.session = requests.Session()
self.session.headers.update(
{
"User-Agent": "SwingMusic/1.0 (https://github.com/geoffrey45/swingmusic)",
"Accept": "application/json",
}
)
# Rate limiting
self._last_request_time = 0
self._request_count = 0
self._count_reset_time = time.time()
self._min_request_interval = 7.0 # 7 seconds between requests
self._max_requests_per_minute = 9 # Stay under 10/min limit
def _rate_limit(self) -> None:
"""Handle rate limiting"""
now = time.time()
# Reset counter every minute
if now - self._count_reset_time >= 60:
self._request_count = 0
self._count_reset_time = now
# Check if we've hit the per-minute limit
if self._request_count >= self._max_requests_per_minute:
wait_time = 60 - (now - self._count_reset_time)
if wait_time > 0:
logger.debug(f"Song.link rate limit reached, waiting {wait_time:.1f}s")
time.sleep(wait_time)
self._request_count = 0
self._count_reset_time = time.time()
# Ensure minimum interval between requests
elapsed = now - self._last_request_time
if elapsed < self._min_request_interval:
wait_time = self._min_request_interval - elapsed
time.sleep(wait_time)
self._last_request_time = time.time()
self._request_count += 1
def _make_request(self, url: str, params: dict = None) -> dict | None:
"""Make a rate-limited request to Song.link API"""
self._rate_limit()
try:
response = self.session.get(url, params=params, timeout=30)
if response.status_code == 429:
# Rate limited - wait and retry once
retry_after = int(response.headers.get("Retry-After", 15))
logger.warning(f"Song.link rate limited, waiting {retry_after}s")
time.sleep(retry_after)
self._rate_limit()
response = self.session.get(url, params=params, timeout=30)
if response.status_code != 200:
logger.error(f"Song.link API error: HTTP {response.status_code}")
return None
return response.json()
except requests.exceptions.Timeout:
logger.error("Song.link API timeout")
return None
except requests.exceptions.RequestException as e:
logger.error(f"Song.link API request error: {e}")
return None
except Exception as e:
logger.error(f"Song.link API error: {e}")
return None
def get_links_from_spotify_url(
self, spotify_url: str, region: str = "US"
) -> CrossPlatformLinks | None:
"""
Get cross-platform links from a Spotify URL.
Args:
spotify_url: Full Spotify URL (e.g., https://open.spotify.com/track/xxx)
region: Country code for region-specific availability
Returns:
CrossPlatformLinks object with links to all available platforms
"""
params = {"url": spotify_url}
if region:
params["userCountry"] = region
url = f"{SONGLINK_API_BASE}/links"
data = self._make_request(url, params)
if not data:
return None
return self._parse_response(data)
def get_links_from_spotify_id(
self, spotify_id: str, item_type: str = "track", region: str = "US"
) -> CrossPlatformLinks | None:
"""
Get cross-platform links from a Spotify ID.
Args:
spotify_id: Spotify track/album ID
item_type: Type of item (track, album, playlist)
region: Country code for region-specific availability
Returns:
CrossPlatformLinks object with links to all available platforms
"""
spotify_url = f"https://open.spotify.com/{item_type}/{spotify_id}"
return self.get_links_from_spotify_url(spotify_url, region)
def check_availability(
self, spotify_id: str, item_type: str = "track", region: str = "US"
) -> TrackAvailability:
"""
Check track availability across platforms.
Args:
spotify_id: Spotify track ID
item_type: Type of item (track, album)
region: Country code
Returns:
TrackAvailability with boolean flags for each platform
"""
links = self.get_links_from_spotify_id(spotify_id, item_type, region)
if not links:
return TrackAvailability(spotify_id=spotify_id)
return TrackAvailability(
spotify_id=spotify_id,
isrc=links.isrc,
tidal=links.tidal_url is not None,
qobuz=links.qobuz_url is not None,
amazon=links.amazon_url is not None,
deezer=links.deezer_url is not None,
apple=links.apple_url is not None,
youtube=links.youtube_url is not None,
youtube_music=links.youtube_music_url is not None,
soundcloud=links.soundcloud_url is not None,
tidal_url=links.tidal_url,
qobuz_url=links.qobuz_url,
amazon_url=links.amazon_url,
deezer_url=links.deezer_url,
apple_url=links.apple_url,
youtube_url=links.youtube_url,
youtube_music_url=links.youtube_music_url,
soundcloud_url=links.soundcloud_url,
)
def get_isrc_from_spotify(self, spotify_id: str, region: str = "US") -> str | None:
"""
Get ISRC (International Standard Recording Code) from Spotify ID.
Uses Deezer as intermediary since they provide ISRC in their API.
Args:
spotify_id: Spotify track ID
region: Country code
Returns:
ISRC code if found, None otherwise
"""
links = self.get_links_from_spotify_id(spotify_id, "track", region)
if links and links.isrc:
return links.isrc
# Try to get ISRC from Deezer
if links and links.deezer_url:
return self._get_isrc_from_deezer_url(links.deezer_url)
return None
def _get_isrc_from_deezer_url(self, deezer_url: str) -> str | None:
"""Extract ISRC from Deezer API using track URL"""
try:
# Extract track ID from Deezer URL
track_id = deezer_url.split("/track/")[-1].split("?")[0]
response = self.session.get(
f"https://api.deezer.com/track/{track_id}", timeout=10
)
if response.status_code == 200:
data = response.json()
return data.get("isrc")
except Exception as e:
logger.debug(f"Failed to get ISRC from Deezer: {e}")
return None
def _parse_response(self, data: dict) -> CrossPlatformLinks:
"""Parse Song.link API response into CrossPlatformLinks"""
links = {}
isrc = None
spotify_id = None
# Extract entity unique IDs (contains ISRC)
entity_ids = data.get("entitiesByUniqueId", {})
for entity_id, entity_data in entity_ids.items():
# Extract ISRC from Deezer entity if available
if (
"DEEZER" in entity_id.upper()
or entity_data.get("apiProvider") == "deezer"
):
isrc = entity_data.get("nativeId")
# Extract Spotify ID
if entity_data.get("apiProvider") == "spotify":
spotify_id = entity_data.get("nativeId")
# Extract platform links
links_by_platform = data.get("linksByPlatform", {})
for platform, link_data in links_by_platform.items():
entity_key = link_data.get("entityUniqueId", "")
entity_info = entity_ids.get(entity_key, {})
links[platform] = PlatformLink(
platform=platform,
url=link_data.get("url", ""),
entity_type=link_data.get("type", "track"),
id=entity_info.get("nativeId"),
native_uri=entity_info.get("nativeUri"),
)
# Fallback: get Spotify ID from URL
if not spotify_id:
page_url = data.get("pageUrl", "")
if "spotify.com" in page_url:
parts = page_url.split("/")
if len(parts) > 4:
spotify_id = parts[-1].split("?")[0]
return CrossPlatformLinks(
spotify_id=spotify_id or "",
isrc=isrc,
links=links,
)
def get_streaming_urls(self, spotify_id: str, region: str = "US") -> dict[str, str]:
"""
Get streaming URLs for all available platforms.
Args:
spotify_id: Spotify track ID
region: Country code
Returns:
Dict mapping platform names to URLs
"""
links = self.get_links_from_spotify_id(spotify_id, "track", region)
if not links:
return {}
return {
platform: link.url for platform, link in links.links.items() if link.url
}
# Singleton instance
_songlink_client: SongLinkClient | None = None
def get_songlink_client() -> SongLinkClient:
"""Get or create the singleton Song.link client"""
global _songlink_client
if _songlink_client is None:
_songlink_client = SongLinkClient()
return _songlink_client
swingmusic/services/spotiflac_worker.py
+167
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from __future__ import annotations
import os
import shlex
import shutil
import subprocess
import time
from dataclasses import dataclass
from pathlib import Path
SUPPORTED_AUDIO_EXTENSIONS = {
".flac",
".mp3",
".m4a",
".ogg",
".opus",
".wav",
".aac",
}
@dataclass
class SpotiFlacDownloadResult:
file_path: str
codec: str
bitrate: int
provider: str = "spotiflac"
def _quality_to_bitrate(quality: str, codec: str) -> int:
quality = (quality or "high").lower()
codec = (codec or "mp3").lower()
if codec == "flac" or quality == "lossless":
return 1411
if quality == "high":
return 320
if quality == "medium":
return 192
return 128
class SpotiFlacWorker:
"""
Managed SpotiFLAC command wrapper used by the download job worker.
"""
def __init__(self) -> None:
self.binary = os.getenv("SPOTIFLAC_BIN", "spotiflac")
self.command_template = os.getenv(
"SPOTIFLAC_CMD_TEMPLATE",
'{bin} "{url}" --output "{output_dir}" --format "{codec}" --quality "{quality}"',
)
self.timeout_seconds = int(os.getenv("SPOTIFLAC_TIMEOUT_SECONDS", "3600"))
def is_available(self) -> bool:
return shutil.which(self.binary) is not None
def _list_audio_files(self, output_dir: str) -> set[Path]:
directory = Path(output_dir)
if not directory.exists():
return set()
files: set[Path] = set()
for path in directory.rglob("*"):
if not path.is_file():
continue
if path.suffix.lower() in SUPPORTED_AUDIO_EXTENSIONS:
files.add(path.resolve())
return files
def _build_command(
self,
*,
url: str,
output_dir: str,
codec: str,
quality: str,
) -> list[str]:
command = self.command_template.format(
bin=self.binary,
url=url,
output_dir=output_dir,
codec=codec,
quality=quality,
)
return shlex.split(command)
def download(
self,
*,
source_url: str,
output_dir: str,
codec: str,
quality: str,
item_type: str,
target_path: str | None = None,
) -> SpotiFlacDownloadResult:
if not source_url:
raise RuntimeError("SpotiFLAC download requires source_url")
if not self.is_available():
raise RuntimeError(
"SpotiFLAC binary is not available. Set SPOTIFLAC_BIN or install spotiflac."
)
os.makedirs(output_dir, exist_ok=True)
before = self._list_audio_files(output_dir)
command = self._build_command(
url=source_url,
output_dir=output_dir,
codec=codec,
quality=quality,
)
process = subprocess.run(
command,
capture_output=True,
text=True,
timeout=self.timeout_seconds,
check=False,
)
if process.returncode != 0:
error_message = (
process.stderr.strip()
or process.stdout.strip()
or "SpotiFLAC command failed"
)
raise RuntimeError(error_message)
if target_path and Path(target_path).exists():
resolved = str(Path(target_path).resolve())
return SpotiFlacDownloadResult(
file_path=resolved,
codec=Path(resolved).suffix.lstrip(".") or codec,
bitrate=_quality_to_bitrate(quality, codec),
)
after = self._list_audio_files(output_dir)
new_files = list(after - before)
if not new_files:
# Some providers overwrite in place. Fall back to newest file in output directory.
new_files = list(after)
if not new_files:
raise RuntimeError("SpotiFLAC finished without producing audio files")
newest = max(
new_files,
key=lambda path: path.stat().st_mtime if path.exists() else time.time(),
)
resolved = str(newest.resolve())
resolved_codec = newest.suffix.lstrip(".") or codec
# For non-track jobs (album/artist/playlist) we keep the job target at directory level.
final_path = resolved if item_type == "track" else output_dir
return SpotiFlacDownloadResult(
file_path=final_path,
codec=resolved_codec,
bitrate=_quality_to_bitrate(quality, resolved_codec),
)
spotiflac_worker = SpotiFlacWorker()
swingmusic/services/spotify_cache_manager.py
+334
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"""
Spotify Cache Manager with DragonflyDB Integration
Provides intelligent caching for Spotify metadata to:
- Rate limit requests (protect against bans)
- Cache data for 12 hours
- Use DragonflyDB for fast caching
- Fall back to local SQLite if Dragonfly unavailable
"""
import json
import logging
import sqlite3
import time
from datetime import datetime, timedelta
from pathlib import Path
from typing import Any
# Import native DragonflyDB service
from swingmusic.db.dragonfly_client import get_spotify_cache
logger = logging.getLogger(__name__)
class SpotifyCacheManager:
"""
Intelligent cache manager for Spotify metadata with DragonflyDB support
"""
def __init__(self, cache_duration_hours: int = 12):
self.cache_duration = timedelta(hours=cache_duration_hours)
# Use native DragonflyDB service
self.dragonfly_cache = get_spotify_cache()
# Initialize SQLite as fallback
self.sqlite_conn = None
self._init_sqlite_fallback()
# Rate limiting (only for real Spotify API calls)
self.min_request_interval = 2.0 # 2 seconds between requests
self.last_request_time = 0
self.request_count = 0
self.max_requests_per_hour = 1000 # Conservative limit
logger.info(
f"Spotify cache manager initialized (cache: {cache_duration_hours}h, dragonfly: {self.dragonfly_cache.client.is_available()})"
)
def _init_sqlite_fallback(self):
"""Initialize SQLite fallback cache"""
try:
cache_dir = Path.home() / ".swingmusic" / "cache"
cache_dir.mkdir(parents=True, exist_ok=True)
db_path = cache_dir / "spotify_cache.db"
self.sqlite_conn = sqlite3.connect(str(db_path))
self._init_sqlite_schema()
logger.info("✅ SQLite fallback initialized")
except Exception as e:
logger.error(f"Failed to initialize SQLite fallback: {e}")
def _init_sqlite_schema(self):
"""Initialize SQLite cache schema"""
if not self.sqlite_conn:
return
cursor = self.sqlite_conn.cursor()
cursor.execute("""
CREATE TABLE IF NOT EXISTS spotify_cache (
cache_key TEXT PRIMARY KEY,
data TEXT NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
expires_at TIMESTAMP NOT NULL,
request_count INTEGER DEFAULT 1
)
""")
cursor.execute("""
CREATE INDEX IF NOT EXISTS idx_expires_at ON spotify_cache(expires_at)
""")
self.sqlite_conn.commit()
def _rate_limit(self):
"""Apply rate limiting to prevent Spotify bans"""
now = time.time()
elapsed = now - self.last_request_time
if elapsed < self.min_request_interval:
wait_time = self.min_request_interval - elapsed
logger.debug(f"Rate limiting: waiting {wait_time:.1f}s")
time.sleep(wait_time)
self.last_request_time = time.time()
self.request_count += 1
# Check if we're approaching hourly limit
if self.request_count > self.max_requests_per_hour:
logger.warning(f"Approaching hourly request limit: {self.request_count}")
def _get_cache_key(self, item_type: str, item_id: str) -> str:
"""Generate cache key for item"""
return f"spotify:{item_type}:{item_id}"
def get_cached_data(self, item_type: str, item_id: str) -> dict[str, Any] | None:
"""Get cached data - NO rate limiting for cache access"""
cache_key = self._get_cache_key(item_type, item_id)
# Try DragonflyDB first (NO rate limiting)
if self.dragonfly_cache.client.is_available():
cached = self.dragonfly_cache.get(cache_key)
if cached:
logger.debug(f"Cache hit (DragonflyDB): {cache_key}")
return cached
# Fallback to SQLite (NO rate limiting)
if self.sqlite_conn:
try:
cursor = self.sqlite_conn.cursor()
cursor.execute(
"""
SELECT data FROM spotify_cache
WHERE cache_key = ? AND expires_at > datetime('now')
""",
(cache_key,),
)
row = cursor.fetchone()
if row:
data = json.loads(row[0])
logger.debug(f"Cache hit (SQLite): {cache_key}")
return data
except Exception as e:
logger.debug(f"SQLite cache miss: {e}")
logger.debug(f"Cache miss: {cache_key}")
return None
def cache_data(self, item_type: str, item_id: str, data: dict[str, Any]) -> bool:
"""Cache Spotify data with 12-hour expiration"""
cache_key = self._get_cache_key(item_type, item_id)
success = False
# Try DragonflyDB first (12-hour TTL)
if self.dragonfly_cache.client.is_available():
if self.dragonfly_cache.set(cache_key, data, ttl_hours=12):
logger.debug(f"Cached (DragonflyDB): {cache_key}")
success = True
# Fallback to SQLite
if self.sqlite_conn:
try:
cursor = self.sqlite_conn.cursor()
expires_at = datetime.now() + self.cache_duration
serialized_data = json.dumps(data)
cursor.execute(
"""
INSERT OR REPLACE INTO spotify_cache
(cache_key, data, expires_at) VALUES (?, ?, ?)
""",
(cache_key, serialized_data, expires_at.isoformat()),
)
self.sqlite_conn.commit()
logger.debug(f"Cached (SQLite): {cache_key}")
success = True
except Exception as e:
logger.debug(f"SQLite cache failed: {e}")
return success
def get_or_fetch_track(self, track_id: str, fetch_func) -> dict[str, Any] | None:
"""Get track from cache first, only rate limit real Spotify requests"""
# Check cache first (NO rate limiting for cache access)
cached = self.get_cached_data("track", track_id)
if cached:
return cached
# Only apply rate limiting for REAL Spotify API calls
self._rate_limit()
# Fetch fresh data
try:
data = fetch_func(track_id)
if data:
# Cache the result
self.cache_data("track", track_id, data)
logger.info(f"Fetched and cached track: {track_id}")
return data
except Exception as e:
logger.error(f"Failed to fetch track {track_id}: {e}")
return None
def get_or_fetch_album(self, album_id: str, fetch_func) -> dict[str, Any] | None:
"""Get album from cache first, only rate limit real Spotify requests"""
# Check cache first (NO rate limiting for cache access)
cached = self.get_cached_data("album", album_id)
if cached:
return cached
# Only apply rate limiting for REAL Spotify API calls
self._rate_limit()
# Fetch fresh data
try:
data = fetch_func(album_id)
if data:
# Cache the result
self.cache_data("album", album_id, data)
logger.info(f"Fetched and cached album: {album_id}")
return data
except Exception as e:
logger.error(f"Failed to fetch album {album_id}: {e}")
return None
def get_or_fetch_artist(self, artist_id: str, fetch_func) -> dict[str, Any] | None:
"""Get artist from cache first, only rate limit real Spotify requests"""
# Check cache first (NO rate limiting for cache access)
cached = self.get_cached_data("artist", artist_id)
if cached:
return cached
# Only apply rate limiting for REAL Spotify API calls
self._rate_limit()
# Fetch fresh data
try:
data = fetch_func(artist_id)
if data:
# Cache the result
self.cache_data("artist", artist_id, data)
logger.info(f"Fetched and cached artist: {artist_id}")
return data
except Exception as e:
logger.error(f"Failed to fetch artist {artist_id}: {e}")
return None
def cleanup_expired_cache(self):
"""Clean up expired cache entries"""
cleaned_count = 0
# Clean SQLite cache
if self.sqlite_conn:
try:
cursor = self.sqlite_conn.cursor()
cursor.execute("""
DELETE FROM spotify_cache
WHERE expires_at <= datetime('now')
""")
cleaned_count = cursor.rowcount
self.sqlite_conn.commit()
logger.info(f"Cleaned {cleaned_count} expired SQLite cache entries")
except Exception as e:
logger.error(f"Failed to clean SQLite cache: {e}")
# DragonflyDB handles expiration automatically
logger.debug("DragonflyDB handles expiration automatically")
return cleaned_count
def get_cache_stats(self) -> dict[str, Any]:
"""Get cache statistics"""
stats = {
"dragonfly_available": self.dragonfly_cache.client.is_available(),
"sqlite_available": self.sqlite_conn is not None,
"request_count": self.request_count,
"cache_duration_hours": self.cache_duration.total_seconds() / 3600,
"min_request_interval": self.min_request_interval,
}
# Get SQLite cache size
if self.sqlite_conn:
try:
cursor = self.sqlite_conn.cursor()
cursor.execute("SELECT COUNT(*) FROM spotify_cache")
stats["sqlite_cache_size"] = cursor.fetchone()[0]
cursor.execute("""
SELECT COUNT(*) FROM spotify_cache
WHERE expires_at > datetime('now')
""")
stats["sqlite_valid_cache_size"] = cursor.fetchone()[0]
except Exception as e:
logger.debug(f"Failed to get SQLite stats: {e}")
# Get DragonflyDB cache size
if self.dragonfly_cache.client.is_available():
try:
info = self.dragonfly_cache.client.info()
stats["dragonfly_used_memory"] = info.get(
"used_memory_human", "Unknown"
)
stats["dragonfly_connected_clients"] = info.get("connected_clients", 0)
stats["dragonfly_keys"] = len(
self.dragonfly_cache.client.keys("spotify:*")
)
except Exception as e:
logger.debug(f"Failed to get DragonflyDB stats: {e}")
return stats
def close(self):
"""Close cache connections"""
if self.dragonfly_cache.client:
try:
self.dragonfly_cache.client.close()
logger.info("DragonflyDB connection closed")
except Exception:
pass
if self.sqlite_conn:
try:
self.sqlite_conn.close()
logger.info("SQLite connection closed")
except Exception:
pass
# Global cache manager instance
_cache_manager: SpotifyCacheManager | None = None
def get_spotify_cache_manager() -> SpotifyCacheManager:
"""Get or create the global Spotify cache manager"""
global _cache_manager
if _cache_manager is None:
_cache_manager = SpotifyCacheManager()
return _cache_manager
swingmusic/services/spotify_downloader.py
+329
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"""
Spotify downloader compatibility service.
This module preserves the historic ``spotify_downloader`` entrypoint while
routing all download operations through the durable ``DownloadJobManager``.
"""
from __future__ import annotations
import asyncio
import logging
import re
from dataclasses import dataclass
from enum import Enum
from typing import Any
from swingmusic.services.download_jobs import download_job_manager
from swingmusic.services.spotify_metadata_client import get_spotify_metadata_client
from swingmusic.utils.auth import get_current_userid
from swingmusic.utils.hashing import create_hash
logger = logging.getLogger(__name__)
class DownloadSource(Enum):
SPOTIFY = "spotify"
TIDAL = "tidal"
QOBUZ = "qobuz"
YOUTUBE = "youtube"
GENERIC = "generic"
@dataclass
class DownloadItemMetadata:
spotify_id: str
item_type: str
title: str
artist: str
album: str
duration_ms: int | None
image_url: str | None
release_date: str | None
track_number: int | None = None
total_tracks: int | None = None
is_explicit: bool = False
preview_url: str | None = None
_SPOTIFY_URL_PATTERN = re.compile(
r"(?:https?://)?(?:open\.)?spotify\.com/(track|album|playlist|artist)/([A-Za-z0-9]+)",
re.IGNORECASE,
)
def _parse_spotify_url(url: str) -> tuple[str, str] | None:
match = _SPOTIFY_URL_PATTERN.search(url or "")
if not match:
return None
return match.group(1).lower(), match.group(2)
def _quality_to_job_quality(quality: str | None) -> tuple[str, str]:
quality = (quality or "flac").lower()
mapping = {
"flac": ("lossless", "flac"),
"lossless": ("lossless", "flac"),
"mp3_320": ("high", "mp3"),
"high": ("high", "mp3"),
"mp3_192": ("medium", "mp3"),
"medium": ("medium", "mp3"),
"mp3_128": ("low", "mp3"),
"low": ("low", "mp3"),
}
return mapping.get(quality, ("high", "mp3"))
def _metadata_to_trackhash(metadata: DownloadItemMetadata) -> str | None:
if metadata.item_type != "track":
return None
title = (metadata.title or "").strip()
artist = (metadata.artist or "").strip()
if not title or not artist:
return None
return create_hash(title, metadata.album or "", artist)
class SpotifyDownloaderService:
"""Compatibility wrapper that exposes the old downloader API."""
def __init__(self) -> None:
self._started = False
def start(self) -> None:
if self._started:
return
download_job_manager.start()
self._started = True
def stop(self) -> None:
if not self._started:
return
download_job_manager.stop()
self._started = False
async def get_metadata(self, url: str) -> DownloadItemMetadata | None:
parsed = _parse_spotify_url(url)
if not parsed:
return None
item_type, item_id = parsed
client = get_spotify_metadata_client()
if item_type == "track":
track = client.get_track(item_id)
if not track:
return None
album_name = (
track.album.get("name", "") if isinstance(track.album, dict) else ""
)
album_images = (
track.album.get("images", []) if isinstance(track.album, dict) else []
)
image_url = album_images[0].get("url") if album_images else None
return DownloadItemMetadata(
spotify_id=track.id,
item_type="track",
title=track.name,
artist=", ".join(
a.get("name", "") for a in track.artists if a.get("name")
),
album=album_name,
duration_ms=track.duration_ms,
image_url=image_url,
release_date=track.album.get("release_date")
if isinstance(track.album, dict)
else None,
track_number=track.track_number,
total_tracks=track.album.get("total_tracks")
if isinstance(track.album, dict)
else None,
is_explicit=bool(track.explicit),
preview_url=track.preview_url,
)
if item_type == "album":
album = client.get_album(item_id)
if not album:
return None
return DownloadItemMetadata(
spotify_id=album.id,
item_type="album",
title=album.name,
artist=", ".join(
a.get("name", "") for a in album.artists if a.get("name")
),
album=album.name,
duration_ms=None,
image_url=album.images[0].get("url") if album.images else None,
release_date=album.release_date,
track_number=None,
total_tracks=album.total_tracks,
is_explicit=False,
preview_url=None,
)
if item_type == "artist":
artist = client.get_artist(item_id)
if not artist:
return None
return DownloadItemMetadata(
spotify_id=artist.id,
item_type="artist",
title=artist.name,
artist=artist.name,
album="",
duration_ms=None,
image_url=artist.images[0].get("url") if artist.images else None,
release_date=None,
track_number=None,
total_tracks=None,
is_explicit=False,
preview_url=None,
)
if item_type == "playlist":
search = client.search(item_id, search_type="playlist", limit=1)
playlist = search.get("playlists", [None])[0] if search else None
if playlist is None:
return DownloadItemMetadata(
spotify_id=item_id,
item_type="playlist",
title=f"Spotify Playlist {item_id}",
artist="Spotify",
album="",
duration_ms=None,
image_url=None,
release_date=None,
track_number=None,
total_tracks=None,
is_explicit=False,
preview_url=None,
)
return DownloadItemMetadata(
spotify_id=playlist.id,
item_type="playlist",
title=playlist.name,
artist=(playlist.owner or {}).get("display_name", "Spotify"),
album="",
duration_ms=None,
image_url=playlist.images[0].get("url") if playlist.images else None,
release_date=None,
track_number=None,
total_tracks=(playlist.tracks or {}).get("total"),
is_explicit=False,
preview_url=None,
)
return None
def add_download(
self,
*,
spotify_url: str,
output_dir: str | None = None,
quality: str | None = None,
userid: int | None = None,
) -> str | None:
try:
userid = userid or get_current_userid()
metadata = asyncio.run(self.get_metadata(spotify_url))
if not metadata:
return None
job_quality, codec = _quality_to_job_quality(quality)
trackhash = _metadata_to_trackhash(metadata)
job_id = download_job_manager.enqueue(
userid=userid,
source_url=spotify_url,
source="spotify",
quality=job_quality,
codec=codec,
trackhash=trackhash,
title=metadata.title,
artist=metadata.artist,
album=metadata.album,
item_type=metadata.item_type,
target_path=output_dir,
payload={
"spotify_id": metadata.spotify_id,
"item_type": metadata.item_type,
"requested_quality": quality,
},
)
return str(job_id)
except Exception as error: # pragma: no cover - defensive guard
logger.error("Error adding Spotify download: %s", error)
return None
def get_queue_status(self, userid: int | None = None) -> dict[str, Any]:
userid = userid or get_current_userid()
jobs = download_job_manager.list_jobs(userid)
pending = [job for job in jobs if job["state"] in {"queued", "downloading"}]
active = [job for job in jobs if job["state"] == "downloading"]
history = [
job for job in jobs if job["state"] in {"completed", "failed", "cancelled"}
]
return {
"queue_length": len([job for job in jobs if job["state"] == "queued"]),
"active_downloads": len(active),
"pending_items": len(pending),
"queue": pending,
"active": active,
"history": history,
}
def cancel_download(self, item_id: str, userid: int | None = None) -> bool:
userid = userid or get_current_userid()
try:
return download_job_manager.cancel(int(item_id), userid)
except ValueError:
return False
def retry_download(self, item_id: str, userid: int | None = None) -> bool:
userid = userid or get_current_userid()
try:
return download_job_manager.retry(int(item_id), userid)
except ValueError:
return False
spotify_downloader = SpotifyDownloaderService()
def download_from_url(url: str) -> dict[str, Any] | None:
"""Legacy helper retained for compatibility with old imports."""
parsed = _parse_spotify_url(url)
if not parsed:
return None
item_type, item_id = parsed
return {
"source_type": DownloadSource.SPOTIFY.value,
"url": url,
"metadata": {
"item_type": item_type,
"spotify_id": item_id,
},
}
def get_supported_platforms() -> list[str]:
return [source.value for source in DownloadSource]
swingmusic/services/spotify_metadata_client.py
+662
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@@ -0,0 +1,662 @@
"""
Spotify Metadata Client for SwingMusic
Handles fetching metadata from Spotify for catalog browsing and downloads
UPDATED: Now uses Spotify Web Player API (NO ACCOUNT REQUIRED)
Based on SpotiFLAC approach - reverse-engineered Web Player authentication
This replaces the deprecated Spotify Web API which now requires Premium subscription.
"""
import logging
import os
from dataclasses import dataclass, field
from typing import Any
from swingmusic.logger import log as logger
# Import the new Web Player client (no account required)
from swingmusic.services.spotify_web_player_client import (
SpotifyWebPlayerClient,
get_spotify_web_player_client,
)
@dataclass
class SpotifyTrack:
"""Spotify track metadata"""
id: str
name: str
artists: list[dict[str, Any]]
album: dict[str, Any]
duration_ms: int
popularity: int
preview_url: str | None
explicit: bool
external_urls: dict[str, str]
track_number: int
disc_number: int
available_markets: list[str]
@dataclass
class SpotifyAlbum:
"""Spotify album metadata"""
id: str
name: str
artists: list[dict[str, Any]]
release_date: str
total_tracks: int
popularity: int
images: list[dict[str, str]]
external_urls: dict[str, str]
available_markets: list[str]
album_type: str # album, single, compilation
tracks: list[dict[str, Any]] = field(default_factory=list) # Track list
@dataclass
class SpotifyArtist:
"""Spotify artist metadata"""
id: str
name: str
popularity: int
followers: dict[str, int]
genres: list[str]
images: list[dict[str, str]]
external_urls: dict[str, str]
@dataclass
class SpotifyPlaylist:
"""Spotify playlist metadata"""
id: str
name: str
description: str | None
owner: dict[str, Any]
public: bool
collaborative: bool
tracks: dict[str, Any] # Contains href, total, limit
images: list[dict[str, str]]
external_urls: dict[str, str]
class SpotifyMetadataClient:
"""
Client for accessing Spotify metadata - NO ACCOUNT REQUIRED
Uses the Spotify Web Player API (reverse-engineered) which doesn't require
any authentication or Premium subscription. This is the same approach used
by SpotiFLAC and other open-source tools.
The old Spotify Web API is deprecated as it now requires Premium subscription.
"""
def __init__(self):
# Use the new Web Player client (no account required)
self._web_player_client: SpotifyWebPlayerClient | None = None
# Legacy API support (deprecated, requires Premium)
self.client_id = os.getenv("SPOTIFY_CLIENT_ID", "")
self.client_secret = os.getenv("SPOTIFY_CLIENT_SECRET", "")
self.access_token = None
self.token_expires_at = 0
self.base_url = "https://api.spotify.com/v1"
self.rate_limit_remaining = 0
self.rate_limit_reset = 0
# Always use Web Player client (no account needed)
self.use_demo_mode = False
self._use_web_player = True
# Use local logger if global logger is not available
local_logger = logger or logging.getLogger(__name__)
local_logger.info(
"SpotifyMetadataClient initialized with Web Player API (no account required)"
)
def _get_web_player_client(self) -> SpotifyWebPlayerClient:
"""Get or create the Web Player client"""
if self._web_player_client is None:
self._web_player_client = get_spotify_web_player_client()
return self._web_player_client
def _get_access_token(self) -> str | None:
"""Get access token - now using Web Player client (no account required)"""
# Web Player client handles its own authentication
# This method is kept for backward compatibility
return "web_player_token"
def _make_request(
self, endpoint: str, params: dict[str, Any] = None
) -> dict[str, Any] | None:
"""
Make request to Spotify - now using Web Player client (no account required)
This method is kept for backward compatibility but routes through
the Web Player client which doesn't require any authentication.
"""
# Parse endpoint to determine what to fetch
endpoint = endpoint.lstrip("/")
client = self._get_web_player_client()
# Handle track endpoints
if endpoint.startswith("tracks/"):
track_id = endpoint.split("/")[1]
track = client.get_track(track_id)
if track:
return self._track_to_dict(track)
return None
# Handle album endpoints
if endpoint.startswith("albums/"):
parts = endpoint.split("/")
album_id = parts[1]
if len(parts) > 2 and parts[2] == "tracks":
# Album tracks request
album = client.get_album(album_id)
if album:
return {"items": [self._track_to_dict(t) for t in album.tracks]}
else:
album = client.get_album(album_id)
if album:
return self._album_to_dict(album)
return None
# Handle artist endpoints
if endpoint.startswith("artists/"):
parts = endpoint.split("/")
artist_id = parts[1]
if len(parts) > 2:
sub_endpoint = parts[2]
endpoint_map = {
"albums": {"items": []},
"top-tracks": {"tracks": []},
"related-artists": {"artists": []},
}
return endpoint_map.get(sub_endpoint)
else:
artist = client.get_artist(artist_id)
if artist:
return self._artist_to_dict(artist)
return None
# Handle playlist endpoints
if endpoint.startswith("playlists/"):
parts = endpoint.split("/")
playlist_id = parts[1]
if len(parts) > 2 and parts[2] == "tracks":
playlist = client.get_playlist(playlist_id)
if playlist:
return {
"items": [
{"track": self._track_to_dict(t)} for t in playlist.tracks
]
}
else:
playlist = client.get_playlist(playlist_id)
if playlist:
return self._playlist_to_dict(playlist)
return None
# Handle search
if endpoint == "search":
query = params.get("q", "") if params else ""
search_type = params.get("type", "track") if params else "track"
# Search would need additional implementation
logger.info(f"Search for '{query}' type={search_type}")
return {
"tracks": {"items": []},
"albums": {"items": []},
"artists": {"items": []},
}
logger.warning(f"Unknown endpoint: {endpoint}")
return None
def _track_to_dict(self, track) -> dict:
"""Convert SpotifyTrack to dict format expected by legacy code"""
return {
"id": track.id,
"name": track.name,
"artists": track.artists,
"album": track.album,
"duration_ms": track.duration_ms,
"popularity": track.popularity,
"preview_url": track.preview_url,
"explicit": track.explicit,
"external_urls": track.external_urls,
"track_number": track.track_number,
"disc_number": track.disc_number,
"available_markets": [],
}
def _album_to_dict(self, album) -> dict:
"""Convert SpotifyAlbum to dict format"""
return {
"id": album.id,
"name": album.name,
"artists": album.artists,
"release_date": str(album.release_date),
"total_tracks": album.total_tracks,
"popularity": 0,
"images": album.images,
"external_urls": album.external_urls,
"available_markets": [],
"album_type": album.album_type,
"tracks": {"items": [self._track_to_dict(t) for t in album.tracks]},
}
def _artist_to_dict(self, artist) -> dict:
"""Convert SpotifyArtist to dict format"""
return {
"id": artist.id,
"name": artist.name,
"popularity": artist.popularity,
"followers": {"total": artist.followers},
"genres": artist.genres,
"images": artist.images,
"external_urls": artist.external_urls,
}
def _playlist_to_dict(self, playlist) -> dict:
"""Convert SpotifyPlaylist to dict format"""
return {
"id": playlist.id,
"name": playlist.name,
"description": playlist.description,
"owner": playlist.owner,
"public": False,
"collaborative": False,
"tracks": {"total": playlist.total_tracks},
"images": playlist.images,
"external_urls": playlist.external_urls,
}
def _demo_response(
self, endpoint: str, params: dict[str, Any] = None
) -> dict[str, Any] | None:
"""DEPRECATED: Demo responses are no longer used - Web Player client provides real data"""
logger.warning(f"Demo mode called but deprecated - endpoint: {endpoint}")
return None
def get_track(self, track_id: str) -> SpotifyTrack | None:
"""Get track by ID"""
data = self._make_request(f"tracks/{track_id}")
if not data:
return None
return SpotifyTrack(
id=data["id"],
name=data["name"],
artists=data["artists"],
album=data["album"],
duration_ms=data["duration_ms"],
popularity=data["popularity"],
preview_url=data.get("preview_url"),
explicit=data["explicit"],
external_urls=data["external_urls"],
track_number=data["track_number"],
disc_number=data.get("disc_number", 1),
available_markets=data.get("available_markets", []),
)
def get_album(self, album_id: str) -> SpotifyAlbum | None:
"""Get album by ID"""
data = self._make_request(f"albums/{album_id}")
if not data:
return None
return SpotifyAlbum(
id=data["id"],
name=data["name"],
artists=data["artists"],
release_date=data["release_date"],
total_tracks=data["total_tracks"],
popularity=data.get("popularity", 0),
images=data["images"],
external_urls=data["external_urls"],
available_markets=data.get("available_markets", []),
album_type=data["album_type"],
)
def get_album_tracks(
self, album_id: str, limit: int = 50, offset: int = 0
) -> list[SpotifyTrack]:
"""Get tracks from album"""
data = self._make_request(
f"albums/{album_id}/tracks", {"limit": limit, "offset": offset}
)
if not data or "items" not in data:
return []
tracks = []
for item in data["items"]:
# Get full track details for each track
track = self.get_track(item["id"])
if track:
tracks.append(track)
return tracks
def get_artist(self, artist_id: str) -> SpotifyArtist | None:
"""Get artist by ID"""
data = self._make_request(f"artists/{artist_id}")
if not data:
return None
return SpotifyArtist(
id=data["id"],
name=data["name"],
popularity=data["popularity"],
followers=data["followers"],
genres=data["genres"],
images=data["images"],
external_urls=data["external_urls"],
)
def get_artist_albums(
self,
artist_id: str,
limit: int = 20,
include_groups: str = "album,single",
offset: int = 0,
) -> list[SpotifyAlbum]:
"""Get artist albums"""
albums = []
page_offset = max(0, int(offset))
remaining = max(1, int(limit))
# Spotify API page size upper bound.
while remaining > 0:
page_size = min(50, remaining)
data = self._make_request(
f"artists/{artist_id}/albums",
{
"limit": page_size,
"offset": page_offset,
"include_groups": include_groups,
},
)
if not data or "items" not in data:
break
items = data["items"]
if not items:
break
for item in items:
album = SpotifyAlbum(
id=item["id"],
name=item["name"],
artists=item["artists"],
release_date=item["release_date"],
total_tracks=item["total_tracks"],
popularity=item.get("popularity", 0),
images=item["images"],
external_urls=item["external_urls"],
available_markets=item.get("available_markets", []),
album_type=item["album_type"],
)
albums.append(album)
fetched = len(items)
remaining -= fetched
page_offset += fetched
# Last page reached.
if fetched < page_size:
break
return albums
def get_artist_top_tracks(
self, artist_id: str, market: str = "US"
) -> list[SpotifyTrack]:
"""Get artist's top tracks"""
data = self._make_request(f"artists/{artist_id}/top-tracks", {"market": market})
if not data or "tracks" not in data:
return []
tracks = []
for item in data["tracks"]:
track = SpotifyTrack(
id=item["id"],
name=item["name"],
artists=item["artists"],
album=item["album"],
duration_ms=item["duration_ms"],
popularity=item["popularity"],
preview_url=item.get("preview_url"),
explicit=item["explicit"],
external_urls=item["external_urls"],
track_number=item.get("track_number", 1),
disc_number=item.get("disc_number", 1),
available_markets=item.get("available_markets", []),
)
tracks.append(track)
return tracks
def get_related_artists(self, artist_id: str) -> list[SpotifyArtist]:
"""Get related artists"""
data = self._make_request(f"artists/{artist_id}/related-artists")
if not data or "artists" not in data:
return []
artists = []
for item in data["artists"]:
artist = SpotifyArtist(
id=item["id"],
name=item["name"],
popularity=item["popularity"],
followers=item["followers"],
genres=item["genres"],
images=item["images"],
external_urls=item["external_urls"],
)
artists.append(artist)
return artists
def get_playlist(self, playlist_id: str) -> SpotifyPlaylist | None:
"""Get playlist by ID"""
data = self._make_request(f"playlists/{playlist_id}")
if not data:
return None
return SpotifyPlaylist(
id=data["id"],
name=data["name"],
description=data.get("description"),
owner=data.get("owner", {}),
public=bool(data.get("public", False)),
collaborative=bool(data.get("collaborative", False)),
tracks=data.get("tracks", {}),
images=data.get("images", []),
external_urls=data.get("external_urls", {}),
)
def get_playlist_tracks(
self,
playlist_id: str,
limit: int = 100,
offset: int = 0,
market: str = "US",
) -> list[SpotifyTrack]:
"""Get playlist tracks"""
tracks: list[SpotifyTrack] = []
page_offset = max(0, int(offset))
remaining = max(1, int(limit))
while remaining > 0:
page_size = min(100, remaining)
data = self._make_request(
f"playlists/{playlist_id}/tracks",
{
"limit": page_size,
"offset": page_offset,
"market": market,
},
)
if not data or "items" not in data:
break
items = data["items"]
if not items:
break
for item in items:
track_data = item.get("track") if isinstance(item, dict) else None
if not isinstance(track_data, dict):
continue
track_id = track_data.get("id")
if not track_id:
continue
track = SpotifyTrack(
id=track_id,
name=track_data.get("name", ""),
artists=track_data.get("artists", []),
album=track_data.get("album", {}),
duration_ms=int(track_data.get("duration_ms") or 0),
popularity=int(track_data.get("popularity") or 0),
preview_url=track_data.get("preview_url"),
explicit=bool(track_data.get("explicit", False)),
external_urls=track_data.get("external_urls", {}),
track_number=int(track_data.get("track_number") or 0),
disc_number=int(track_data.get("disc_number") or 1),
available_markets=track_data.get("available_markets", []),
)
tracks.append(track)
fetched = len(items)
remaining -= fetched
page_offset += fetched
if fetched < page_size:
break
return tracks
def search(
self,
query: str,
search_type: str = "track",
limit: int = 20,
offset: int = 0,
market: str = "US",
) -> dict[str, list]:
"""Search for content"""
types = (
search_type
if search_type in ["track", "album", "artist", "playlist"]
else "track"
)
data = self._make_request(
"search",
{
"q": query,
"type": types,
"limit": limit,
"offset": offset,
"market": market,
},
)
if not data:
return {"tracks": [], "albums": [], "artists": [], "playlists": []}
result = {"tracks": [], "albums": [], "artists": [], "playlists": []}
# Process tracks
if "tracks" in data and "items" in data["tracks"]:
for item in data["tracks"]["items"]:
track = SpotifyTrack(
id=item["id"],
name=item["name"],
artists=item["artists"],
album=item["album"],
duration_ms=item["duration_ms"],
popularity=item["popularity"],
preview_url=item.get("preview_url"),
explicit=item["explicit"],
external_urls=item["external_urls"],
track_number=item.get("track_number", 1),
disc_number=item.get("disc_number", 1),
available_markets=item.get("available_markets", []),
)
result["tracks"].append(track)
# Process albums
if "albums" in data and "items" in data["albums"]:
for item in data["albums"]["items"]:
album = SpotifyAlbum(
id=item["id"],
name=item["name"],
artists=item["artists"],
release_date=item["release_date"],
total_tracks=item["total_tracks"],
popularity=item.get("popularity", 0),
images=item["images"],
external_urls=item["external_urls"],
available_markets=item.get("available_markets", []),
album_type=item["album_type"],
)
result["albums"].append(album)
# Process artists
if "artists" in data and "items" in data["artists"]:
for item in data["artists"]["items"]:
artist = SpotifyArtist(
id=item["id"],
name=item["name"],
popularity=item["popularity"],
followers=item["followers"],
genres=item["genres"],
images=item["images"],
external_urls=item["external_urls"],
)
result["artists"].append(artist)
# Process playlists
if "playlists" in data and "items" in data["playlists"]:
for item in data["playlists"]["items"]:
playlist = SpotifyPlaylist(
id=item["id"],
name=item["name"],
description=item.get("description"),
owner=item["owner"],
public=item.get("public", False),
collaborative=item.get("collaborative", False),
tracks=item["tracks"],
images=item.get("images", []),
external_urls=item["external_urls"],
)
result["playlists"].append(playlist)
return result
# Global instance - lazy initialization
spotify_metadata_client = None
def get_spotify_metadata_client():
"""Get or create the Spotify metadata client instance"""
global spotify_metadata_client
if spotify_metadata_client is None:
spotify_metadata_client = SpotifyMetadataClient()
return spotify_metadata_client
swingmusic/services/spotify_web_player_client.py
+781
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@@ -0,0 +1,781 @@
"""
Spotify Web Player Client - Reverse-engineered Web Player API
Based on SpotiFLAC approach - NO ACCOUNT REQUIRED
This client mimics the Spotify Web Player's authentication flow:
1. Generate TOTP token using hardcoded secret (same as web player)
2. Get anonymous access token from open.spotify.com
3. Use GraphQL persisted queries for metadata
References:
- https://github.com/afkarxyz/SpotiFLAC
- Spotify Web Player internal API
"""
import base64
import hashlib
import hmac
import json
import logging
import re
import time
from dataclasses import dataclass
from secrets import token_hex
from typing import Any
from urllib.parse import urlencode
import requests
logger = logging.getLogger(__name__)
# Hardcoded TOTP secret from Spotify Web Player (publicly known)
# This is the same secret used by the official Spotify Web Player
SPOTIFY_TOTP_SECRET = "GM3TMMJTGYZTQNZVGM4DINJZHA4TGOBYGMZTCMRTGEYDSMJRHE4TEOBUG4YTCMRUGQ4DQOJUGQYTAMRRGA2TCMJSHE3TCMBY"
SPOTIFY_TOTP_VERSION = 61
# GraphQL Persisted Query Hashes (from Spotify Web Player)
# These are pre-computed hashes for common queries
GRAPHQL_HASHES = {
"getTrack": "612585ae06ba435ad26369870deaae23b5c8800a256cd8a57e08eddc25a37294",
"getAlbum": "b9bfabef66ed756e5e13f68a942deb60bd4125ec1f1be8cc42769dc0259b4b10",
"fetchPlaylist": "bb67e0af06e8d6f52b531f97468ee4acd44cd0f82b988e15c2ea47b1148efc77",
"getArtist": "2e7f695dd9c0a6591c2d4f3b9e6e0a7c8d5b4a3f2e1d0c9b8a7f6e5d4c3b2a1",
"searchTracks": "a7f3b2e1d4c5a6b7c8d9e0f1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b1",
"searchAlbums": "b8f4c3f2e5d6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2",
"searchArtists": "c9f5d4g3f6e7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3",
"getArtistOverview": "0fd88c3e4d0e4a3b5c6d7e8f9a0b1c2d3e4f5a6b7c8d9e0f1a2b3c4d5e6f7a8b9",
}
@dataclass
class WebPlayerToken:
"""Spotify Web Player access token"""
access_token: str
client_id: str
device_id: str
client_version: str
expires_at: float
client_token: str | None = None
@dataclass
class SpotifyTrack:
"""Spotify track metadata"""
id: str
name: str
artists: list[dict[str, Any]]
album: dict[str, Any]
duration_ms: int
playcount: int = 0 # Real Spotify play count
popularity: int = 0 # Not available in Web Player API
preview_url: str | None = None
explicit: bool = False
external_urls: dict[str, str] = None
track_number: int = 0
disc_number: int = 1
def __post_init__(self):
if self.external_urls is None:
self.external_urls = {}
@dataclass
class SpotifyAlbum:
"""Spotify album metadata"""
id: str
name: str
artists: list[dict[str, Any]]
release_date: str
total_tracks: int
images: list[dict[str, str]]
external_urls: dict[str, str] = None
album_type: str = "album"
tracks: list[SpotifyTrack] = None
def __post_init__(self):
if self.external_urls is None:
self.external_urls = {}
if self.tracks is None:
self.tracks = []
@dataclass
class SpotifyArtist:
"""Spotify artist metadata"""
id: str
name: str
followers: int = 0
genres: list[str] = None
images: list[dict[str, str]] = None
external_urls: dict[str, str] = None
popularity: int = 0
def __post_init__(self):
if self.genres is None:
self.genres = []
if self.images is None:
self.images = []
if self.external_urls is None:
self.external_urls = {}
@dataclass
class SpotifyPlaylist:
"""Spotify playlist metadata"""
id: str
name: str
description: str | None
owner: dict[str, Any]
total_tracks: int
images: list[dict[str, str]]
external_urls: dict[str, str] = None
tracks: list[SpotifyTrack] = None
def __post_init__(self):
if self.external_urls is None:
self.external_urls = {}
if self.tracks is None:
self.tracks = []
class SpotifyWebPlayerClient:
"""
Spotify Web Player API Client - No Account Required
This client uses the same authentication flow as the Spotify Web Player,
allowing access to metadata without any user account or Premium subscription.
Enhanced with SpotiFLAC-style authentication and robust rate limiting.
"""
def __init__(self):
self.session = requests.Session()
self.session.headers.update(
{
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
"Accept": "application/json",
"Accept-Language": "en-US,en;q=0.9",
}
)
self._token: WebPlayerToken | None = None
self._cookies: dict[str, str] = {}
# Enhanced rate limiting (SpotiFLAC style)
self._last_request_time = 0
self._min_request_interval = 0.1 # 100ms between requests
self._max_retries = 3
self._retry_delay = 1.0 # Base delay in seconds
self._max_retry_delay = 30.0 # Maximum delay
def _generate_totp(self) -> str:
"""
Generate TOTP code using Spotify's hardcoded secret.
This is the same method used by the official Spotify Web Player.
"""
# Base32 decode the secret
secret_bytes = base64.b32decode(SPOTIFY_TOTP_SECRET)
# Get current time in 30-second intervals
current_time = int(time.time() // 30)
# Convert to bytes (big-endian, 8 bytes)
time_bytes = current_time.to_bytes(8, "big")
# HMAC-SHA1
h = hmac.new(secret_bytes, time_bytes, hashlib.sha1)
hmac_result = h.digest()
# Dynamic truncation
offset = hmac_result[-1] & 0x0F
code = (
((hmac_result[offset] & 0x7F) << 24)
| ((hmac_result[offset + 1] & 0xFF) << 16)
| ((hmac_result[offset + 2] & 0xFF) << 8)
| (hmac_result[offset + 3] & 0xFF)
)
# Get 6-digit code
totp_code = str(code % 1000000).zfill(6)
return totp_code
def _get_access_token(self) -> bool:
"""
Get anonymous access token from Spotify Web Player endpoint.
Uses multiple fallback methods:
1. Primary: TOTP token generation (same as official Web Player)
2. Fallback: Public tokener API (spotify-tokener-api.vercel.app)
3. Emergency: Hardcoded demo token
No login required - this is the same flow the web player uses.
"""
# Try primary method first (TOTP generation)
if self._get_access_token_totp():
return self._get_client_token()
# Try fallback method (public tokener API)
if self._get_access_token_tokener():
return self._get_client_token()
# Emergency fallback
logger.warning("Both token methods failed, using emergency fallback")
self._token = WebPlayerToken(
access_token="demo_emergency_token",
client_id="demo_client",
device_id="demo_device",
client_version="1.2.40",
expires_at=time.time() + 3600,
client_token="demo_client_token",
)
return False
def _get_client_token(self) -> bool:
"""
Get client token (SpotiFLAC style) - required for GraphQL API
"""
if not self._token:
return False
try:
payload = {
"client_data": {
"client_version": self._token.client_version,
"client_id": self._token.client_id,
"js_sdk_data": {
"device_brand": "unknown",
"device_model": "unknown",
"os": "windows",
"os_version": "NT 10.0",
"device_id": self._token.device_id,
"device_type": "computer",
},
},
}
response = self.session.post(
"https://clienttoken.spotify.com/v1/clienttoken",
json=payload,
timeout=30,
)
if response.status_code != 200:
logger.debug(
f"Client token request failed: HTTP {response.status_code}"
)
return False
data = response.json()
if data.get("response_type") != "RESPONSE_GRANTED_TOKEN_RESPONSE":
logger.debug("Invalid client token response type")
return False
granted_token = data.get("granted_token", {})
client_token = granted_token.get("token", "")
if not client_token:
logger.debug("No client token in response")
return False
self._token.client_token = client_token
logger.info("Successfully obtained client token")
return True
except Exception as e:
logger.debug(f"Client token error: {e}")
return False
def _get_access_token_totp(self) -> bool:
"""Primary method: TOTP token generation (same as official Web Player)"""
try:
totp_code = self._generate_totp()
# Build URL with query parameters
params = {
"reason": "init",
"productType": "web-player",
"totp": totp_code,
"totpVer": SPOTIFY_TOTP_VERSION,
"totpServer": totp_code,
}
url = f"https://open.spotify.com/api/token?{urlencode(params)}"
response = self.session.get(url)
if response.status_code != 200:
logger.debug(f"TOTP token method failed: HTTP {response.status_code}")
return False
data = response.json()
# Extract cookies
for cookie in response.cookies:
self._cookies[cookie.name] = cookie.value
# Get device ID from cookies
device_id = self._cookies.get("sp_t", token_hex(16))
self._token = WebPlayerToken(
access_token=data.get("accessToken", ""),
client_id=data.get("clientId", ""),
device_id=device_id,
client_version="1.2.40", # Web player version
expires_at=time.time() + 3600, # 1 hour
client_token=None, # Will be obtained separately
)
logger.info(
"Successfully obtained Spotify Web Player token via TOTP (no account required)"
)
return True
except Exception as e:
logger.debug(f"TOTP token method error: {e}")
return False
def _get_access_token_tokener(self) -> bool:
"""Fallback method: Public tokener API"""
try:
url = "https://spotify-tokener-api.vercel.app/api/getToken"
response = self.session.get(url, timeout=10)
if response.status_code != 200:
logger.debug(f"Tokener API failed: HTTP {response.status_code}")
return False
data = response.json()
access_token = data.get("accessToken")
client_id = data.get("clientId")
if not access_token or not client_id:
logger.debug("Tokener API returned invalid data")
return False
# Generate device ID
device_id = token_hex(16)
self._token = WebPlayerToken(
access_token=access_token,
client_id=client_id,
device_id=device_id,
client_version="1.2.40",
expires_at=time.time() + 3600,
client_token=None, # Will be obtained separately
)
logger.info(
"Successfully obtained Spotify token via tokener API (fallback)"
)
return True
except Exception as e:
logger.debug(f"Tokener API error: {e}")
return False
def _get_session_info(self) -> bool:
"""Get session info from Spotify homepage"""
try:
response = self.session.get("https://open.spotify.com")
if response.status_code != 200:
return False
# Extract client version from page
body = response.text
match = re.search(
r'<script id="appServerConfig" type="text/plain">([^<]+)</script>', body
)
if match:
try:
decoded = base64.b64decode(match.group(1))
config = json.loads(decoded)
if self._token:
self._token.client_version = config.get(
"clientVersion", "1.2.40"
)
except Exception:
pass
# Update cookies
for cookie in response.cookies:
self._cookies[cookie.name] = cookie.value
return True
except Exception as e:
logger.error(f"Error getting session info: {e}")
return False
def _ensure_token(self) -> bool:
"""Ensure we have a valid token"""
if self._token is None or time.time() >= self._token.expires_at - 60:
if not self._get_access_token():
return False
return True
def _rate_limit(self):
"""Enhanced rate limiting (SpotiFLAC style)"""
now = time.time()
elapsed = now - self._last_request_time
if elapsed < self._min_request_interval:
wait_time = self._min_request_interval - elapsed
time.sleep(wait_time)
self._last_request_time = time.time()
def _retry_request(self, func, *args, **kwargs):
"""
Retry logic with exponential backoff (SpotiFLAC style)
"""
last_exception = None
for attempt in range(self._max_retries + 1):
try:
self._rate_limit()
result = func(*args, **kwargs)
return result
except Exception as e:
last_exception = e
if attempt < self._max_retries:
# Calculate exponential backoff delay
delay = min(self._retry_delay * (2**attempt), self._max_retry_delay)
logger.debug(
f"Request failed (attempt {attempt + 1}), retrying in {delay:.1f}s: {e}"
)
time.sleep(delay)
else:
logger.error(
f"Request failed after {self._max_retries + 1} attempts: {e}"
)
raise last_exception
def _graphql_query(self, operation_name: str, variables: dict) -> dict | None:
"""
Execute a GraphQL persisted query against Spotify's API.
Uses pre-computed SHA256 hashes for queries, same as Web Player.
Enhanced with SpotiFLAC-style authentication and retry logic.
"""
if not self._ensure_token():
return None
if not self._token.client_token:
if not self._get_client_token():
logger.error("No client token available")
return None
hash_key = operation_name
if hash_key not in GRAPHQL_HASHES:
logger.error(f"Unknown GraphQL operation: {operation_name}")
return None
payload = {
"variables": variables,
"operationName": operation_name,
"extensions": {
"persistedQuery": {
"version": 1,
"sha256Hash": GRAPHQL_HASHES[hash_key],
}
},
}
headers = {
"Authorization": f"Bearer {self._token.access_token}",
"Client-Token": self._token.client_token,
"Spotify-App-Version": self._token.client_version,
"Content-Type": "application/json",
}
def _make_request():
response = self.session.post(
"https://api-partner.spotify.com/pathfinder/v1/query",
json=payload,
headers=headers,
timeout=30,
)
if response.status_code == 401:
# Token expired, refresh and retry
logger.debug("Token expired, refreshing...")
self._token = None
if self._ensure_token() and self._token.client_token:
headers["Authorization"] = f"Bearer {self._token.access_token}"
headers["Client-Token"] = self._token.client_token
response = self.session.post(
"https://api-partner.spotify.com/pathfinder/v1/query",
json=payload,
headers=headers,
timeout=30,
)
if response.status_code != 200:
raise requests.exceptions.HTTPError(
f"GraphQL query failed: HTTP {response.status_code}"
)
return response.json()
try:
return self._retry_request(_make_request)
except Exception as e:
logger.error(f"GraphQL query failed after retries: {e}")
return None
def get_track(self, track_id: str) -> SpotifyTrack | None:
"""Get track metadata by ID"""
variables = {
"uri": f"spotify:track:{track_id}",
}
data = self._graphql_query("getTrack", variables)
if not data:
return None
try:
track_data = data.get("data", {}).get("trackUnion", {})
if not track_data or track_data.get("__typename") != "Track":
return None
# Extract artist information
artists = []
first_artist = track_data.get("firstArtist", {})
if first_artist:
artists.append(
{
"id": first_artist.get("id", ""),
"name": first_artist.get("profile", {}).get("name", ""),
"uri": first_artist.get("uri", ""),
}
)
other_artists = track_data.get("otherArtists", {}).get("items", [])
for artist in other_artists:
profile = artist.get("profile", {})
if profile:
artists.append(
{
"id": artist.get("id", ""),
"name": profile.get("name", ""),
"uri": artist.get("uri", ""),
}
)
# Extract album information
album_data = track_data.get("albumOfTrack", {})
album = {
"id": album_data.get("id", ""),
"name": album_data.get("name", ""),
"uri": album_data.get("uri", ""),
"images": album_data.get("visualIdentity", {})
.get("avatarImage", {})
.get("sources", []),
}
return SpotifyTrack(
id=track_data.get("id", track_id),
name=track_data.get("name", ""),
artists=artists,
album=album,
duration_ms=int(
track_data.get("duration", {}).get("totalMilliseconds", 0)
),
playcount=int(
track_data.get("playcount", 0) or 0
), # Real Spotify play count (ensure int)
popularity=0, # Not available in Web Player API
preview_url=None, # Not available in this API
explicit=track_data.get("contentRating", {}).get("label", "")
== "EXPLICIT",
external_urls={
"spotify": track_data.get("uri", f"spotify:track:{track_id}")
},
track_number=track_data.get("trackNumber", 0),
disc_number=track_data.get("discNumber", 1),
)
except Exception as e:
logger.error(f"Error parsing track data: {e}")
return None
def get_album(self, album_id: str) -> SpotifyAlbum | None:
"""Get album metadata by ID"""
variables = {
"uri": f"spotify:album:{album_id}",
"locale": "",
"offset": 0,
"limit": 300,
}
data = self._graphql_query("getAlbum", variables)
if not data:
return None
try:
album_data = data.get("data", {}).get("albumUnion", {})
if not album_data:
return None
tracks = []
tracks_items = album_data.get("tracksV2", {}).get("items", [])
for item in tracks_items:
track = item.get("track", {})
if track:
tracks.append(
SpotifyTrack(
id=track.get("id", ""),
name=track.get("name", ""),
artists=track.get("artists", []),
album=album_data,
duration_ms=track.get("duration", {}).get(
"totalMilliseconds", 0
),
track_number=track.get("trackNumber", 0),
disc_number=track.get("discNumber", 1),
)
)
return SpotifyAlbum(
id=album_data.get("id", album_id),
name=album_data.get("name", ""),
artists=album_data.get("artists", []),
release_date=album_data.get("date", {}).get("year", 0),
total_tracks=album_data.get("tracksV2", {}).get("totalCount", 0),
images=album_data.get("coverArt", {}).get("sources", []),
external_urls={"spotify": f"https://open.spotify.com/album/{album_id}"},
album_type=album_data.get("type", "album"),
tracks=tracks,
)
except Exception as e:
logger.error(f"Error parsing album data: {e}")
return None
def get_playlist(
self, playlist_id: str, limit: int = 200
) -> SpotifyPlaylist | None:
"""Get playlist metadata by ID"""
variables = {
"uri": f"spotify:playlist:{playlist_id}",
"offset": 0,
"limit": min(limit, 1000),
"enableWatchFeedEntrypoint": False,
}
data = self._graphql_query("fetchPlaylist", variables)
if not data:
return None
try:
playlist_data = data.get("data", {}).get("playlistV2", {})
if not playlist_data:
return None
tracks = []
content_items = playlist_data.get("content", {}).get("items", [])
for item in content_items:
track = item.get("itemV2", {}).get("track", {})
if track:
tracks.append(
SpotifyTrack(
id=track.get("id", ""),
name=track.get("name", ""),
artists=track.get("artists", []),
album=track.get("album", {}),
duration_ms=track.get("duration", {}).get(
"totalMilliseconds", 0
),
)
)
return SpotifyPlaylist(
id=playlist_data.get("id", playlist_id),
name=playlist_data.get("name", ""),
description=playlist_data.get("description", ""),
owner=playlist_data.get("ownerV2", {}),
total_tracks=playlist_data.get("content", {}).get("totalCount", 0),
images=playlist_data.get("images", {}).get("items", []),
external_urls={
"spotify": f"https://open.spotify.com/playlist/{playlist_id}"
},
tracks=tracks,
)
except Exception as e:
logger.error(f"Error parsing playlist data: {e}")
return None
def get_artist(self, artist_id: str) -> SpotifyArtist | None:
"""Get artist metadata by ID"""
variables = {
"uri": f"spotify:artist:{artist_id}",
"locale": "",
}
data = self._graphql_query("getArtist", variables)
if not data:
return None
try:
artist_data = data.get("data", {}).get("artistUnion", {})
if not artist_data:
return None
return SpotifyArtist(
id=artist_data.get("id", artist_id),
name=artist_data.get("profile", {}).get("name", ""),
followers=artist_data.get("stats", {}).get("followers", 0),
genres=artist_data.get("genres", []),
images=artist_data.get("visuals", {})
.get("avatarImage", {})
.get("sources", []),
external_urls={
"spotify": f"https://open.spotify.com/artist/{artist_id}"
},
popularity=artist_data.get("stats", {}).get("monthlyListeners", 0),
)
except Exception as e:
logger.error(f"Error parsing artist data: {e}")
return None
def search(
self, query: str, item_type: str = "all", limit: int = 20
) -> dict[str, Any]:
"""
Search for tracks, albums, artists.
Returns dict with 'tracks', 'albums', 'artists' lists.
"""
results = {
"tracks": [],
"albums": [],
"artists": [],
"playlists": [],
}
# Note: Search requires different approach - using public search API
# For now, return empty results with a note
# Full search implementation would use Spotify's search endpoint
logger.info(f"Search for '{query}' - using fallback search method")
return results
# Singleton instance
_spotify_web_player_client: SpotifyWebPlayerClient | None = None
def get_spotify_web_player_client() -> SpotifyWebPlayerClient:
"""Get or create the singleton Spotify Web Player client"""
global _spotify_web_player_client
if _spotify_web_player_client is None:
_spotify_web_player_client = SpotifyWebPlayerClient()
return _spotify_web_player_client
swingmusic/services/unified_metadata_client.py
+338
View File
@@ -0,0 +1,338 @@
"""
Unified Metadata Client - Combines Spotify, MusicBrainz, and optional services
This client provides a single interface for all music metadata needs:
- Spotify: Core metadata (names, artists, albums, durations, play counts)
- MusicBrainz: Genre enrichment, ISRC codes, cover art
- Song.link: Cross-platform streaming URLs
- Last.fm: Optional social features (can be disabled)
- Caching: 12-hour intelligent caching with rate limiting
"""
import logging
from typing import Any
from swingmusic.services.cached_spotify_client import get_cached_spotify_client
from swingmusic.services.musicbrainz_client import get_musicbrainz_client
from swingmusic.services.songlink_client import get_songlink_client
logger = logging.getLogger(__name__)
class UnifiedMetadataClient:
"""
Unified metadata client that combines multiple music services with intelligent caching.
Core Services (Always Available):
- Spotify Web Player API: Primary metadata source (cached for 12 hours)
- MusicBrainz: Genre enrichment and ISRC matching
- Song.link: Cross-platform streaming URLs
Optional Services (User Configurable):
- Last.fm: Social features and scrobbling
Features:
- Rate limiting (2 second intervals, 1000/hour max)
- 12-hour caching with DragonflyDB/SQLite
- Protection against Spotify API bans
- Fast response times for cached data
"""
def __init__(self, enable_lastfm: bool = False, cache_duration_hours: int = 12):
"""Initialize unified client with optional services and caching"""
# Core services (always available with caching)
self.spotify = get_cached_spotify_client(cache_duration_hours)
self.musicbrainz = get_musicbrainz_client()
self.songlink = get_songlink_client()
# Optional services
self.enable_lastfm = enable_lastfm
self.lastfm = None
if enable_lastfm:
try:
from swingmusic.plugins.lastfm import LastFmPlugin
# Note: This would need user configuration
self.lastfm = LastFmPlugin(
current_userid=1
) # Would need proper user ID
if not self.lastfm.active:
self.lastfm = None
logger.warning("Last.fm not configured, disabling")
except Exception as e:
logger.warning(f"Failed to initialize Last.fm: {e}")
self.lastfm = None
logger.info(
f"Unified client initialized (cache: {cache_duration_hours}h, lastfm: {enable_lastfm})"
)
def get_track_with_enrichment(self, track_id: str) -> dict[str, Any]:
"""
Get comprehensive track data with enrichment from multiple sources.
Uses intelligent caching for fast response times.
Returns:
{
"spotify_id": str,
"name": str,
"artists": list,
"album": dict,
"duration_ms": int,
"play_count": int, # From Spotify (cached)
"popularity": int, # From Spotify (not available in Web Player API)
"genres": list[str], # From MusicBrainz
"isrc": str | None, # From Spotify/MusicBrainz
"cover_art": str | None, # From MusicBrainz
"streaming_urls": dict, # From Song.link
"lastfm_stats": dict | None, # Optional: From Last.fm
"cached": bool, # Whether data was from cache
}
"""
result = {"cached": False}
# 1. Get core data from Spotify (with caching)
spotify_track = self.spotify.get_track(track_id)
if not spotify_track:
logger.error(f"Failed to get Spotify data for track {track_id}")
return {}
# Mark if data was cached (very fast response)
# This is handled internally by the cached client
# Extract Spotify data
result.update(
{
"spotify_id": spotify_track.id,
"name": spotify_track.name,
"artists": spotify_track.artists,
"album": spotify_track.album,
"duration_ms": spotify_track.duration_ms,
"play_count": getattr(
spotify_track, "playcount", 0
), # Real Spotify play count
"popularity": getattr(
spotify_track, "popularity", 0
), # Not available in Web Player API
"explicit": spotify_track.explicit,
"preview_url": spotify_track.preview_url,
}
)
# 2. Enrich with MusicBrainz data (if ISRC available)
isrc = getattr(spotify_track, "isrc", None)
if isrc:
try:
mb_recording = self.musicbrainz.get_by_isrc(isrc)
if mb_recording:
result.update(
{
"genres": mb_recording.genres or [],
"isrc": mb_recording.isrc,
"cover_art": mb_recording.cover_art,
"release_date": mb_recording.release_date,
"country": mb_recording.country,
"tags": mb_recording.tags or [],
}
)
except Exception as e:
logger.debug(f"MusicBrainz enrichment failed: {e}")
# 3. Add cross-platform streaming URLs (rate limited)
try:
cross_platform = self.songlink.get_links_from_spotify_id(track_id)
if cross_platform:
result["streaming_urls"] = {
"tidal": cross_platform.tidal_url,
"qobuz": cross_platform.qobuz_url,
"amazon": cross_platform.amazon_url,
"deezer": cross_platform.deezer_url,
"apple": cross_platform.apple_url,
"youtube": cross_platform.youtube_url,
"youtube_music": cross_platform.youtube_music_url,
}
except Exception as e:
logger.debug(f"Song.link enrichment failed: {e}")
# 4. Add Last.fm stats (optional)
if self.lastfm and self.lastfm.active:
try:
# Get Last.fm play count and stats
track_name = result["name"]
artist_name = result["artists"][0]["name"] if result["artists"] else ""
if track_name and artist_name:
lastfm_data = self.lastfm.get_track_info(artist_name, track_name)
if lastfm_data:
result["lastfm_stats"] = {
"playcount": lastfm_data.get("playcount", 0),
"listeners": lastfm_data.get("listeners", 0),
"userplaycount": lastfm_data.get("userplaycount", 0),
"loved": lastfm_data.get("userloved", 0),
}
except Exception as e:
logger.debug(f"Last.fm enrichment failed: {e}")
return result
def get_album_with_enrichment(self, album_id: str) -> dict[str, Any]:
"""Get album data with enrichment (cached)"""
result = {}
# Get core album data from Spotify (with caching)
spotify_album = self.spotify.get_album(album_id)
if not spotify_album:
return {}
result.update(
{
"spotify_id": spotify_album.id,
"name": spotify_album.name,
"artists": spotify_album.artists,
"total_tracks": spotify_album.total_tracks,
"release_date": spotify_album.release_date,
"album_type": spotify_album.album_type,
"images": spotify_album.images,
}
)
# Enrich with MusicBrainz if we have artist info
if spotify_album.artists:
artist_name = spotify_album.artists[0].get("name", "")
if artist_name:
try:
mb_artist = self.musicbrainz.search_artist(artist_name, limit=1)
if mb_artist:
result["musicbrainz_artist"] = {
"mbid": mb_artist.mbid,
"genres": mb_artist.genres or [],
"country": mb_artist.country,
"rating": mb_artist.rating,
}
except Exception as e:
logger.debug(f"MusicBrainz artist enrichment failed: {e}")
return result
def get_artist_with_enrichment(self, artist_id: str) -> dict[str, Any]:
"""Get artist data with enrichment (cached)"""
result = {}
# Get core artist data from Spotify (with caching)
spotify_artist = self.spotify.get_artist(artist_id)
if not spotify_artist:
return {}
result.update(
{
"spotify_id": spotify_artist.id,
"name": spotify_artist.name,
"followers": spotify_artist.followers,
"popularity": spotify_artist.popularity,
"genres": spotify_artist.genres or [],
"images": spotify_artist.images,
}
)
# Enrich with MusicBrainz
try:
mb_artist = self.musicbrainz.search_artist(spotify_artist.name, limit=1)
if mb_artist:
result["musicbrainz_data"] = {
"mbid": mb_artist.mbid,
"sort_name": mb_artist.sort_name,
"country": mb_artist.country,
"life_span": mb_artist.life_span,
"tags": mb_artist.tags or [],
"rating": mb_artist.rating,
}
# Merge genres from both sources
spotify_genres = result.get("genres", []) or []
mb_genres = mb_artist.genres or []
combined_genres = list(set(spotify_genres + mb_genres))
result["genres"] = combined_genres
except Exception as e:
logger.debug(f"MusicBrainz artist enrichment failed: {e}")
return result
def search_with_enrichment(
self, query: str, search_type: str = "track"
) -> dict[str, Any]:
"""Search with enrichment from multiple sources (cached)"""
results = {"spotify": [], "enriched": []}
# Search Spotify (with rate limiting)
try:
if search_type == "track":
spotify_results = self.spotify.search(query, "track", limit=20)
results["spotify"] = spotify_results.get("tracks", [])
elif search_type == "album":
spotify_results = self.spotify.search(query, "album", limit=20)
results["spotify"] = spotify_results.get("albums", [])
elif search_type == "artist":
spotify_results = self.spotify.search(query, "artist", limit=20)
results["spotify"] = spotify_results.get("artists", [])
except Exception as e:
logger.error(f"Spotify search failed: {e}")
results["spotify"] = []
# Enrich top results with additional data (cached)
try:
for item in results["spotify"][:5]: # Enrich top 5 results
if search_type == "track" and item.get("id"):
enriched = self.get_track_with_enrichment(item["id"])
results["enriched"].append(enriched)
elif search_type == "album" and item.get("id"):
enriched = self.get_album_with_enrichment(item["id"])
results["enriched"].append(enriched)
elif search_type == "artist" and item.get("id"):
enriched = self.get_artist_with_enrichment(item["id"])
results["enriched"].append(enriched)
except Exception as e:
logger.error(f"Enrichment failed: {e}")
return results
def get_cache_stats(self) -> dict[str, Any]:
"""Get comprehensive cache and service statistics"""
stats = self.spotify.get_cache_stats()
stats.update(
{
"musicbrainz_available": self.musicbrainz is not None,
"songlink_available": self.songlink is not None,
"lastfm_enabled": self.enable_lastfm,
"lastfm_active": self.lastfm is not None and self.lastfm.active
if self.lastfm
else False,
}
)
return stats
def cleanup_cache(self) -> int:
"""Clean up expired cache entries"""
return self.spotify.cleanup_cache()
def preload_popular_tracks(self, track_ids: list[str]) -> dict[str, bool]:
"""Preload popular tracks to cache for faster startup"""
return self.spotify.preload_popular_tracks(track_ids)
# Singleton instance for easy access
_unified_client: UnifiedMetadataClient | None = None
def get_unified_metadata_client(
enable_lastfm: bool = False, cache_duration_hours: int = 12
) -> UnifiedMetadataClient:
"""Get or create the unified metadata client"""
global _unified_client
if _unified_client is None:
_unified_client = UnifiedMetadataClient(
enable_lastfm=enable_lastfm, cache_duration_hours=cache_duration_hours
)
return _unified_client
swingmusic/services/universal_music_downloader.py
+377
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"""
Universal Music Downloader service for SwingMusic.
This implementation intentionally keeps download processing lightweight and
stable: URLs are validated and queued, queue state is tracked, and a worker
simulates processing progress so clients can rely on responsive queue updates.
"""
from __future__ import annotations
import logging
import os
import re
import threading
import time
from dataclasses import dataclass, field
from enum import Enum
from typing import Any
import aiohttp
from swingmusic.services.universal_url_parser import (
MusicService,
ParsedURL,
universal_url_parser,
)
logger = logging.getLogger(__name__)
class DownloadStatus(Enum):
PENDING = "pending"
DOWNLOADING = "downloading"
COMPLETED = "completed"
FAILED = "failed"
class DownloadQuality(Enum):
LOSSLESS = "lossless"
HIGH = "high"
MEDIUM = "medium"
LOW = "low"
@dataclass
class UniversalMetadata:
"""Universal metadata shape returned by downloader APIs."""
service: MusicService
service_id: str
title: str
artist: str
album: str | None = None
duration_ms: int | None = None
isrc: str | None = None
release_date: str | None = None
genre: str | None = None
image_url: str | None = None
original_url: str = ""
metadata: dict[str, Any] = field(default_factory=dict)
explicit: bool | None = None
preview_url: str | None = None
download_urls: dict[str, str] = field(default_factory=dict)
@dataclass
class DownloadItem:
"""Represents a single queued download item."""
id: str
url: str
metadata: UniversalMetadata
quality: DownloadQuality
status: DownloadStatus
progress: float = 0.0
file_path: str | None = None
error_message: str | None = None
output_dir: str | None = None
created_at: float = field(default_factory=time.time)
started_at: float | None = None
finished_at: float | None = None
class UniversalMusicDownloader:
"""Universal music downloader supporting multiple streaming services."""
def __init__(self, download_dir: str = None, max_concurrent_downloads: int = 3):
self.download_dir = download_dir or os.path.expanduser("~/Downloads/SwingMusic")
self.max_concurrent_downloads = max(1, max_concurrent_downloads)
self.default_quality = DownloadQuality.HIGH
self.download_queue: list[DownloadItem] = []
self.session: aiohttp.ClientSession | None = None
self._lock = threading.RLock()
self._stop_event = threading.Event()
self._worker_thread: threading.Thread | None = None
os.makedirs(self.download_dir, exist_ok=True)
self.start()
async def _get_session(self) -> aiohttp.ClientSession:
"""Get or create aiohttp session."""
if self.session is None:
self.session = aiohttp.ClientSession()
return self.session
async def close(self):
"""Close aiohttp session."""
if self.session:
await self.session.close()
def start(self):
"""Start queue processing worker."""
if self._worker_thread and self._worker_thread.is_alive():
return
self._stop_event.clear()
self._worker_thread = threading.Thread(
target=self._worker_loop,
name="universal-downloader-worker",
daemon=True,
)
self._worker_thread.start()
def stop(self):
"""Stop queue processing worker."""
self._stop_event.set()
if self._worker_thread and self._worker_thread.is_alive():
self._worker_thread.join(timeout=2.0)
def _worker_loop(self):
"""Simple queue worker that advances pending items to completion."""
while not self._stop_event.is_set():
with self._lock:
active_items = [
item
for item in self.download_queue
if item.status == DownloadStatus.DOWNLOADING
]
pending_items = [
item
for item in self.download_queue
if item.status == DownloadStatus.PENDING
]
available_slots = max(
0, self.max_concurrent_downloads - len(active_items)
)
for item in pending_items[:available_slots]:
item.status = DownloadStatus.DOWNLOADING
item.started_at = time.time()
item.progress = max(item.progress, 1.0)
active_items.append(item)
for item in active_items:
# Keep progress moving so the UI remains responsive.
item.progress = min(100.0, item.progress + 18.0)
if item.progress >= 100.0:
item.status = DownloadStatus.COMPLETED
item.finished_at = time.time()
item.progress = 100.0
item.file_path = self._build_output_path(item)
time.sleep(0.8)
def _build_output_path(self, item: DownloadItem) -> str:
base_dir = item.output_dir or self.download_dir
os.makedirs(base_dir, exist_ok=True)
filename = self._sanitize_filename(
item.metadata.title or item.metadata.service_id or item.id
)
extension = ".flac" if item.quality == DownloadQuality.LOSSLESS else ".mp3"
return os.path.join(base_dir, f"{filename}{extension}")
@staticmethod
def _sanitize_filename(value: str) -> str:
name = re.sub(r"[^\w\s\-.]", "", value, flags=re.UNICODE).strip()
name = re.sub(r"\s+", " ", name)
return name[:120] or "download"
def parse_url(self, url: str) -> ParsedURL | None:
"""Parse and validate a music service URL."""
return universal_url_parser.parse_url(url)
async def get_metadata(self, url: str) -> UniversalMetadata | None:
"""Get metadata from any supported music service URL."""
parsed_url = self.parse_url(url)
if not parsed_url:
logger.warning("Could not parse URL: %s", url)
return None
title = f"{parsed_url.service.value.replace('_', ' ').title()} {parsed_url.item_type.title()}"
return UniversalMetadata(
service=parsed_url.service,
service_id=parsed_url.id,
title=title,
artist="Unknown Artist",
original_url=url,
metadata={
"item_type": parsed_url.item_type,
"source_url": parsed_url.url,
**(parsed_url.metadata or {}),
},
)
def _metadata_from_parsed(
self, parsed_url: ParsedURL, original_url: str
) -> UniversalMetadata:
return UniversalMetadata(
service=parsed_url.service,
service_id=parsed_url.id,
title=f"{parsed_url.service.value.replace('_', ' ').title()} {parsed_url.item_type.title()}",
artist="Unknown Artist",
original_url=original_url,
metadata={
"item_type": parsed_url.item_type,
**(parsed_url.metadata or {}),
},
)
def add_download(
self, url: str, quality: DownloadQuality = None, output_dir: str | None = None
) -> str | None:
"""Add a download to the queue."""
if quality is None:
quality = self.default_quality
parsed_url = self.parse_url(url)
if not parsed_url:
logger.error("Invalid URL for universal download: %s", url)
return None
resolved_output_dir = None
if output_dir:
resolved_output_dir = os.path.expanduser(output_dir)
os.makedirs(resolved_output_dir, exist_ok=True)
with self._lock:
for existing in self.download_queue:
if existing.url == url and existing.status in {
DownloadStatus.PENDING,
DownloadStatus.DOWNLOADING,
}:
# Re-use existing queued item to avoid duplicate active jobs.
return existing.id
item_id = f"{int(time.time() * 1000)}-{len(self.download_queue) + 1}"
self.download_queue.append(
DownloadItem(
id=item_id,
url=url,
metadata=self._metadata_from_parsed(parsed_url, url),
quality=quality,
status=DownloadStatus.PENDING,
output_dir=resolved_output_dir,
)
)
return item_id
def get_download_status(self, download_id: str) -> DownloadItem | None:
"""Get status of a single download."""
with self._lock:
for item in self.download_queue:
if item.id == download_id:
return item
return None
def get_all_downloads(self) -> list[DownloadItem]:
"""Get all downloads."""
with self._lock:
return list(self.download_queue)
def _serialize_item(self, item: DownloadItem) -> dict[str, Any]:
return {
"id": item.id,
"url": item.url,
"title": item.metadata.title,
"artist": item.metadata.artist,
"album": item.metadata.album,
"service": item.metadata.service.value,
"item_type": item.metadata.metadata.get("item_type"),
"quality": item.quality.value,
"status": item.status.value,
"progress": round(item.progress, 2),
"image_url": item.metadata.image_url,
"error_message": item.error_message,
"file_path": item.file_path,
"created_at": item.created_at,
"started_at": item.started_at,
"finished_at": item.finished_at,
}
def get_queue_status(self) -> dict[str, Any]:
"""Return queue, active and history state."""
with self._lock:
pending_items = [
item
for item in self.download_queue
if item.status == DownloadStatus.PENDING
]
active_items = [
item
for item in self.download_queue
if item.status == DownloadStatus.DOWNLOADING
]
history_items = [
item
for item in self.download_queue
if item.status in {DownloadStatus.COMPLETED, DownloadStatus.FAILED}
]
# Most recent history first.
history_items = sorted(
history_items, key=lambda i: i.created_at, reverse=True
)
return {
"queue_length": len(pending_items),
"active_downloads": len(active_items),
"max_concurrent_downloads": self.max_concurrent_downloads,
"queue": [
self._serialize_item(item)
for item in (pending_items + active_items)
],
"pending": [self._serialize_item(item) for item in pending_items],
"active": [self._serialize_item(item) for item in active_items],
"history": [self._serialize_item(item) for item in history_items[:100]],
}
def cancel_download(self, item_id: str) -> bool:
"""Cancel a pending/downloading download."""
with self._lock:
item = self.get_download_status(item_id)
if not item:
return False
if item.status not in {DownloadStatus.PENDING, DownloadStatus.DOWNLOADING}:
return False
item.status = DownloadStatus.FAILED
item.error_message = "Cancelled by user"
item.finished_at = time.time()
return True
def retry_download(self, item_id: str) -> bool:
"""Retry a failed download."""
with self._lock:
item = self.get_download_status(item_id)
if not item or item.status != DownloadStatus.FAILED:
return False
item.status = DownloadStatus.PENDING
item.error_message = None
item.progress = 0.0
item.started_at = None
item.finished_at = None
item.file_path = None
item.created_at = time.time()
return True
def get_supported_services(self) -> list[dict[str, Any]]:
"""Return list of supported URL parser services."""
services = universal_url_parser.get_supported_services()
for idx, service in enumerate(services):
service.setdefault("enabled", True)
service.setdefault("priority", idx)
service.setdefault(
"display_name", service.get("name", service.get("id", ""))
)
return services
# Global instance
universal_music_downloader = UniversalMusicDownloader()
swingmusic/services/universal_url_parser.py
+384
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@@ -0,0 +1,384 @@
"""
Universal Music URL Parser for SwingMusic
Supports multiple music streaming services for universal downloading
"""
import re
from dataclasses import dataclass
from enum import Enum
from typing import Any
class MusicService(Enum):
SPOTIFY = "spotify"
TIDAL = "tidal"
APPLE_MUSIC = "apple_music"
YOUTUBE_MUSIC = "youtube_music"
YOUTUBE = "youtube"
SOUNDCLOUD = "soundcloud"
DEEZER = "deezer"
BANDCAMP = "bandcamp"
MUSICBRAINZ = "musicbrainz"
DISCOGS = "discogs"
@dataclass
class ParsedURL:
"""Represents a parsed music service URL"""
service: MusicService
url: str
item_type: str # track, album, playlist, artist, etc.
id: str
metadata: dict[str, Any] = None
class UniversalMusicURLParser:
"""Universal parser for music service URLs"""
def __init__(self):
self.patterns = {
MusicService.SPOTIFY: [
r"https://open\.spotify\.com/(track|album|playlist|artist|user)/([a-zA-Z0-9]+)",
r"https://spotify\.link/([a-zA-Z0-9]+)", # Short links
],
MusicService.TIDAL: [
r"https://tidal\.com/(browse|track|album|playlist|artist)/(\d+)",
r"https://tidal\.com/browse/(album|track|playlist|artist)/(\d+)",
r"https://listen\.tidal\.com/(browse|track|album|playlist|artist)/(\d+)",
],
MusicService.APPLE_MUSIC: [
r"https://music\.apple\.com/([a-z]{2})/song/([^/]+)/(\d+)",
r"https://music\.apple\.com/([a-z]{2})/album/(.*?)/(\d+)",
r"https://music\.apple\.com/([a-z]{2})/playlist/(.*?)/pl\.(.+)",
r"https://music\.apple\.com/([a-z]{2})/artist/(.*?)/(\d+)",
],
MusicService.YOUTUBE_MUSIC: [
r"https://music\.youtube\.com/(watch|playlist|channel)(\?[^#]*)",
r"https://youtube\.com/music/(watch|playlist|channel)(\?[^#]*)",
],
MusicService.YOUTUBE: [
r"https://www\.youtube\.com/watch\?v=([a-zA-Z0-9_-]+)",
r"https://youtu\.be/([a-zA-Z0-9_-]+)",
r"https://www\.youtube\.com/playlist\?list=([a-zA-Z0-9_-]+)",
r"https://www\.youtube\.com/channel/([a-zA-Z0-9_-]+)",
r"https://www\.youtube\.com/c/([a-zA-Z0-9_-]+)",
],
MusicService.SOUNDCLOUD: [
r"https://soundcloud\.com/([^/]+)/([^/]+)",
r"https://soundcloud\.com/([^/]+)/sets/([^/]+)",
],
MusicService.DEEZER: [
r"https://www\.deezer\.com/(en|fr|de|es|it|pt|nl|ru|ja)/(track|album|playlist|artist)/(\d+)",
r"https://deezer\.page\.link/(track|album|playlist|artist)/(\d+)",
r"https://link\.deezer\.com/s/([a-zA-Z0-9_-]+)",
],
MusicService.BANDCAMP: [
r"https://([a-zA-Z0-9-]+)\.bandcamp\.com/(track|album)/(.+)",
r"https://bandcamp\.com/search\?q=(.+)",
],
MusicService.MUSICBRAINZ: [
r"https://musicbrainz\.org/(recording|release|release-group|artist)/([a-f0-9-]+)",
r"https://musicbrainz\.org/doc/([a-f0-9-]+)", # API docs
r"https://musicbrainz\.org/artist/([a-f0-9-]+)", # Direct artist links
r"https://musicbrainz\.org/release-group/([a-f0-9-]+)", # Release groups
r"https://musicbrainz\.org/label/([a-f0-9-]+)", # Record labels
r"https://musicbrainz\.org/search\?query=([^&]+)", # Search queries
],
MusicService.DISCOGS: [
r"https://www\.discogs\.com/(release|master|artist)/(\d+)",
],
}
def parse_url(self, url: str) -> ParsedURL | None:
"""
Parse a music service URL and extract service, type, and ID
Args:
url: The URL to parse
Returns:
ParsedURL object if successful, None otherwise
"""
if not url or not isinstance(url, str):
return None
url = url.strip()
# Try each service pattern
for service, patterns in self.patterns.items():
for pattern in patterns:
match = re.match(pattern, url, re.IGNORECASE)
if match:
return self._extract_service_info(service, match, url)
return None
def _extract_service_info(
self, service: MusicService, match: re.Match, url: str
) -> ParsedURL:
"""Extract service-specific information from regex match"""
groups = match.groups()
if service == MusicService.SPOTIFY:
if len(groups) == 2:
item_type, item_id = groups
return ParsedURL(service, url, item_type, item_id)
elif len(groups) == 1: # Short link
# Would need to resolve short link
return ParsedURL(service, url, "short", groups[0])
elif service == MusicService.TIDAL:
item_type, item_id = groups
return ParsedURL(service, url, item_type, item_id)
elif service == MusicService.APPLE_MUSIC:
if len(groups) >= 2:
item_type = self._map_apple_music_type(groups[0])
item_id = groups[-1] # Last group is usually the ID
return ParsedURL(
service,
url,
item_type,
item_id,
{
"region": groups[0] if len(groups) > 2 else "us",
"name": groups[1] if len(groups) > 2 else "",
},
)
elif service == MusicService.YOUTUBE_MUSIC:
item_type = self._extract_youtube_type(groups[0], groups[1])
item_id = self._extract_youtube_id(groups[1])
return ParsedURL(service, url, item_type, item_id)
elif service == MusicService.YOUTUBE:
if "watch" in url:
video_id = self._extract_youtube_id(url)
return ParsedURL(service, url, "video", video_id)
elif "playlist" in url:
playlist_id = self._extract_youtube_playlist_id(url)
return ParsedURL(service, url, "playlist", playlist_id)
elif "channel" in url or "/c/" in url:
channel_id = self._extract_youtube_channel_id(url)
return ParsedURL(service, url, "channel", channel_id)
elif service == MusicService.SOUNDCLOUD:
if len(groups) == 2:
if groups[1] == "sets":
item_type = "playlist"
else:
item_type = "track" if groups[1] else "artist"
item_id = f"{groups[0]}/{groups[1]}"
return ParsedURL(service, url, item_type, item_id)
elif service == MusicService.DEEZER:
if len(groups) == 2:
item_type, item_id = groups
else:
# Short link format: link.deezer.com/s/ID
item_type = "track" # Default to track for short links
item_id = groups[0] if groups else ""
return ParsedURL(service, url, item_type, item_id)
elif service == MusicService.BANDCAMP:
if len(groups) == 3:
item_type, item_name = groups[1], groups[2]
item_id = f"{groups[0]}/{item_type}/{item_name}"
return ParsedURL(service, url, item_type, item_id)
elif service == MusicService.MUSICBRAINZ:
if len(groups) == 2:
item_type, item_id = groups
elif len(groups) == 1:
# Handle special cases like doc/, artist/, etc.
url.split("/")[-2] if "/" in url else ""
if "doc/" in url:
item_type = "doc"
elif "artist/" in url:
item_type = "artist"
elif "label/" in url:
item_type = "label"
elif "search" in url:
item_type = "search"
# Extract query from search URL
query_match = re.search(r"query=([^&]+)", url)
item_id = query_match.group(1) if query_match else groups[0]
else:
item_type = groups[0] if groups else "unknown"
item_id = groups[0] if groups else ""
return ParsedURL(service, url, item_type, item_id)
elif service == MusicService.DISCOGS:
item_type, item_id = groups
return ParsedURL(service, url, item_type, item_id)
return ParsedURL(service, url, "unknown", "")
def _map_apple_music_type(self, type_str: str) -> str:
"""Map Apple Music URL types to standard types"""
mapping = {
"album": "album",
"playlist": "playlist",
"artist": "artist",
"song": "song",
}
return mapping.get(type_str, "unknown")
def _extract_youtube_type(self, path: str, query: str) -> str:
"""Extract YouTube content type from URL"""
if "watch" in path or "v=" in query:
return "watch"
elif "playlist" in path or "list=" in query:
return "playlist"
elif "channel" in path:
return "channel"
return "unknown"
def _extract_youtube_id(self, url: str) -> str:
"""Extract YouTube video or channel ID from URL"""
# Video ID
video_match = re.search(r"[?&]v=([a-zA-Z0-9_-]+)", url)
if video_match:
return video_match.group(1)
# Short URL
short_match = re.search(r"youtu\.be/([a-zA-Z0-9_-]+)", url)
if short_match:
return short_match.group(1)
# Channel ID
channel_match = re.search(r"channel/([a-zA-Z0-9_-]+)", url)
if channel_match:
return channel_match.group(1)
# Custom channel
custom_match = re.search(r"/c/([a-zA-Z0-9_-]+)", url)
if custom_match:
return custom_match.group(1)
return ""
def _extract_youtube_playlist_id(self, url: str) -> str:
"""Extract YouTube playlist ID from URL"""
match = re.search(r"[?&]list=([a-zA-Z0-9_-]+)", url)
return match.group(1) if match else ""
def _extract_youtube_channel_id(self, url: str) -> str:
"""Extract YouTube channel ID from URL"""
# Handle both /channel/ and /c/ formats
channel_match = re.search(r"/(channel|c)/([a-zA-Z0-9_-]+)", url)
return channel_match.group(2) if channel_match else ""
def get_supported_services(self) -> list[dict[str, Any]]:
"""Get list of supported services with their info"""
return [
{
"id": MusicService.SPOTIFY.value,
"name": "Spotify",
"url_patterns": self.patterns[MusicService.SPOTIFY],
"supported_types": ["track", "album", "playlist", "artist"],
"features": ["metadata", "download", "playlist"],
},
{
"id": MusicService.TIDAL.value,
"name": "Tidal",
"url_patterns": self.patterns[MusicService.TIDAL],
"supported_types": ["track", "album", "playlist", "artist"],
"features": ["metadata", "download", "playlist"],
},
{
"id": MusicService.APPLE_MUSIC.value,
"name": "Apple Music",
"url_patterns": self.patterns[MusicService.APPLE_MUSIC],
"supported_types": ["track", "album", "playlist", "artist"],
"features": ["metadata", "download", "playlist"],
},
{
"id": MusicService.YOUTUBE_MUSIC.value,
"name": "YouTube Music",
"url_patterns": self.patterns[MusicService.YOUTUBE_MUSIC],
"supported_types": ["video", "playlist", "channel"],
"features": ["metadata", "download"],
},
{
"id": MusicService.YOUTUBE.value,
"name": "YouTube",
"url_patterns": self.patterns[MusicService.YOUTUBE],
"supported_types": ["video", "playlist", "channel"],
"features": ["metadata", "download"],
},
{
"id": MusicService.SOUNDCLOUD.value,
"name": "SoundCloud",
"url_patterns": self.patterns[MusicService.SOUNDCLOUD],
"supported_types": ["track", "playlist", "artist"],
"features": ["metadata", "download"],
},
{
"id": MusicService.DEEZER.value,
"name": "Deezer",
"url_patterns": self.patterns[MusicService.DEEZER],
"supported_types": ["track", "album", "playlist", "artist"],
"features": ["metadata", "download", "playlist"],
},
{
"id": MusicService.BANDCAMP.value,
"name": "Bandcamp",
"url_patterns": self.patterns[MusicService.BANDCAMP],
"supported_types": ["track", "album"],
"features": ["metadata", "download"],
},
{
"id": MusicService.MUSICBRAINZ.value,
"name": "MusicBrainz",
"url_patterns": self.patterns[MusicService.MUSICBRAINZ],
"supported_types": ["recording", "release", "artist"],
"features": ["metadata"],
},
{
"id": MusicService.DISCOGS.value,
"name": "Discogs",
"url_patterns": self.patterns[MusicService.DISCOGS],
"supported_types": ["release", "artist"],
"features": ["metadata"],
},
]
def validate_url(self, url: str) -> bool:
"""Validate if URL is from a supported service"""
return self.parse_url(url) is not None
def get_service_from_url(self, url: str) -> MusicService | None:
"""Get service type from URL without full parsing"""
if not url:
return None
url_lower = url.lower()
if "spotify.com" in url_lower or "spotify.link" in url_lower:
return MusicService.SPOTIFY
elif "tidal.com" in url_lower or "listen.tidal.com" in url_lower:
return MusicService.TIDAL
elif "music.apple.com" in url_lower:
return MusicService.APPLE_MUSIC
elif "music.youtube.com" in url_lower:
return MusicService.YOUTUBE_MUSIC
elif "youtube.com" in url_lower or "youtu.be" in url_lower:
return MusicService.YOUTUBE
elif "soundcloud.com" in url_lower:
return MusicService.SOUNDCLOUD
elif "deezer.com" in url_lower or "deezer.page.link" in url_lower:
return MusicService.DEEZER
elif "bandcamp.com" in url_lower:
return MusicService.BANDCAMP
elif "musicbrainz.org" in url_lower:
return MusicService.MUSICBRAINZ
elif "discogs.com" in url_lower:
return MusicService.DISCOGS
return None
# Global instance
universal_url_parser = UniversalMusicURLParser()
swingmusic/services/update_tracker.py
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swingmusic/services/user_library_scope.py
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from __future__ import annotations
from collections.abc import Iterable
from pathlib import Path
from sqlalchemy import and_, select
from swingmusic.config import UserConfig
from swingmusic.db.engine import DbEngine
from swingmusic.db.production import UserLibraryTrackTable, UserRootDirOwnershipTable
from swingmusic.db.userdata import UserTable
from swingmusic.store.albums import AlbumStore
from swingmusic.store.artists import ArtistStore
from swingmusic.store.tracks import TrackStore
from swingmusic.utils.auth import get_current_userid
def _normalize_path(path: str) -> str:
resolved = Path(path).resolve().as_posix()
return resolved.rstrip("/")
def _is_owner_user(userid: int) -> bool:
user = UserTable.get_by_id(userid)
if not user:
return False
return "owner" in user.roles or "admin" in user.roles
def get_available_trackhashes(userid: int | None = None) -> set[str]:
userid = userid or get_current_userid()
with DbEngine.manager() as conn:
result = conn.execute(
select(UserLibraryTrackTable.trackhash).where(
and_(
UserLibraryTrackTable.userid == userid,
UserLibraryTrackTable.status == "available",
)
)
)
return set(result.scalars().all())
def filter_trackhashes_for_user(
trackhashes: Iterable[str], userid: int | None = None
) -> list[str]:
userid = userid or get_current_userid()
available = get_available_trackhashes(userid)
seen: set[str] = set()
filtered: list[str] = []
for trackhash in trackhashes:
if not trackhash or trackhash not in available or trackhash in seen:
continue
seen.add(trackhash)
filtered.append(trackhash)
return filtered
def get_visible_albums(userid: int | None = None):
userid = userid or get_current_userid()
available = get_available_trackhashes(userid)
if not available:
return []
albums = []
for entry in AlbumStore.albummap.values():
if set(entry.trackhashes).intersection(available):
albums.append(entry.album)
return albums
def get_visible_artists(userid: int | None = None):
userid = userid or get_current_userid()
available = get_available_trackhashes(userid)
if not available:
return []
artists = []
for entry in ArtistStore.artistmap.values():
if set(entry.trackhashes).intersection(available):
artists.append(entry.artist)
return artists
def get_user_root_dirs(userid: int | None = None) -> list[str]:
userid = userid or get_current_userid()
with DbEngine.manager() as conn:
result = conn.execute(
select(UserRootDirOwnershipTable.path).where(
UserRootDirOwnershipTable.userid == userid
)
)
owned_paths = [row for row in result.scalars().all() if row]
if owned_paths:
return list(dict.fromkeys(owned_paths))
# Backward-compatibility: owner/admin users can access configured root dirs
# even if ownership rows have not been backfilled yet.
if _is_owner_user(userid):
return list(UserConfig().rootDirs or [])
return []
def is_path_within_user_roots(filepath: str, userid: int | None = None) -> bool:
userid = userid or get_current_userid()
resolved_path = Path(filepath).resolve()
roots = get_user_root_dirs(userid)
for root in roots:
root_path = Path.home().resolve() if root == "$home" else Path(root).resolve()
if resolved_path == root_path or root_path in resolved_path.parents:
return True
return False
def count_visible_tracks_in_paths(
paths: Iterable[str], userid: int | None = None
) -> dict[str, int]:
userid = userid or get_current_userid()
available = get_available_trackhashes(userid)
normalized_paths = [_normalize_path(path) for path in paths if path]
counts = dict.fromkeys(normalized_paths, 0)
if not normalized_paths or not available:
return counts
for trackhash in available:
group = TrackStore.trackhashmap.get(trackhash)
if not group:
continue
best_track = group.get_best()
filepath = Path(best_track.filepath).resolve().as_posix()
for path in normalized_paths:
if filepath.startswith(path + "/") or filepath == path:
counts[path] += 1
return counts