mirror of
https://github.com/Dvorinka/swingmusic-extended.git
synced 2026-06-05 04:53:01 +00:00
Fix CI/CD pipeline and code quality issues
## Major Changes - Fixed all TypeScript errors in web client for successful compilation - Resolved 82+ Python lint errors across backend services - Updated Flutter SDK compatibility for mobile app - Fixed security workflow configuration ## Web Client Fixes - Fixed import path in DragonflyDashboard.vue (dragonflyApi import) - All TypeScript compilation now passes without errors ## Backend Lint Fixes - Updated type annotations to modern Python syntax (dict instead of Dict, X | None instead of Optional[X]) - Replaced try-except-pass with contextlib.suppress(Exception) - Removed unused imports (Dict, Optional, Any, Iterator, etc.) - Fixed bare except clauses to use Exception - Sorted and formatted imports with ruff - Applied ruff format to 27 files ## Workflow Fixes - Updated Flutter SDK constraint from ^3.10.4 to ^3.5.0 (compatible with Flutter 3.24.0) - Changed pip-audit format from github to json in security.yml - Added comprehensive CI workflows (readiness-gate.yml, security.yml) ## Infrastructure - Added DragonflyDB caching system integration - Enhanced Docker configuration with multi-stage builds - Added pytest configuration and test infrastructure - Improved production readiness with proper error handling ## Verification - backend-lint job: ✅ Succeeded - web job: ✅ Succeeded - Ready for GitHub deployment All CI/CD issues resolved. Codebase now passes all quality checks.
This commit is contained in:
Tomas Dvorak
@@ -0,0 +1,417 @@
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"""
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Extended DragonflyDB Client for SwingMusic
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Comprehensive caching system with 15+ cache services for:
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- Track metadata and persistence
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- User sessions and preferences
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- Mobile offline synchronization
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- Real-time features and analytics
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- Background job processing
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- Search and recommendations
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"""
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import json
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import logging
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from typing import Any
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from swingmusic.db.dragonfly_client import DragonflyCache, get_dragonfly_client
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logger = logging.getLogger(__name__)
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class ExtendedDragonflyServices:
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"""
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Extended DragonflyDB services for complete SwingMusic integration
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"""
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def __init__(self):
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self.client = get_dragonfly_client()
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# Core performance caches
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self.track_cache = DragonflyCache("tracks")
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self.artist_cache = DragonflyCache("artists")
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self.album_cache = DragonflyCache("albums")
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# User experience caches
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self.session_cache = DragonflyCache("sessions")
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self.user_cache = DragonflyCache("users")
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self.search_cache = DragonflyCache("search")
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self.homepage_cache = DragonflyCache("homepage")
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# Mobile and offline caches
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self.mobile_cache = DragonflyCache("mobile")
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self.sync_cache = DragonflyCache("sync")
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self.progress_cache = DragonflyCache("progress")
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self.playlist_cache = DragonflyCache("playlists")
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# Real-time feature caches
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self.playcount_cache = DragonflyCache("playcounts")
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self.recent_cache = DragonflyCache("recent")
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self.favorite_cache = DragonflyCache("favorites")
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self.recommendation_cache = DragonflyCache("recommendations")
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# Background processing caches
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self.job_cache = DragonflyCache("jobs")
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self.lyrics_cache = DragonflyCache("lyrics")
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self.index_cache = DragonflyCache("index")
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self.temp_cache = DragonflyCache("temp")
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logger.info("Extended DragonflyDB services initialized")
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class TrackCacheService:
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"""High-performance track caching with persistence"""
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def __init__(self):
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self.cache = DragonflyCache("tracks")
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def get_track(self, trackhash: str) -> dict[str, Any] | None:
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"""Get track data from cache"""
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return self.cache.get(f"track:{trackhash}")
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def set_track(
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self, trackhash: str, track_data: dict[str, Any], ttl_hours: int = 24
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):
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"""Cache track data"""
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return self.cache.set(f"track:{trackhash}", track_data, ttl_hours)
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def get_track_batch(self, trackhashes: list[str]) -> dict[str, Any]:
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"""Get multiple tracks from cache"""
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results = {}
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for trackhash in trackhashes:
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track = self.get_track(trackhash)
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if track:
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results[trackhash] = track
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return results
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def set_track_batch(self, tracks: dict[str, dict[str, Any]], ttl_hours: int = 24):
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"""Cache multiple tracks"""
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success_count = 0
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for trackhash, track_data in tracks.items():
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if self.set_track(trackhash, track_data, ttl_hours):
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success_count += 1
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return success_count
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def invalidate_track(self, trackhash: str):
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"""Remove track from cache"""
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return self.cache.delete(f"track:{trackhash}")
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def get_stats(self) -> dict[str, Any]:
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"""Get track cache statistics"""
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keys = self.cache.client.keys("tracks:track:*")
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return {
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"total_tracks": len(keys),
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"memory_usage": self.cache.client.info().get(
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"used_memory_human", "Unknown"
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),
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}
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class UserSessionService:
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"""Ultra-fast user session management"""
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def __init__(self):
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self.cache = DragonflyCache("sessions")
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def create_session(
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self, session_token: str, user_data: dict[str, Any], ttl_hours: int = 24
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):
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"""Create user session"""
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return self.cache.set(f"session:{session_token}", user_data, ttl_hours)
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def get_session(self, session_token: str) -> dict[str, Any] | None:
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"""Get user session"""
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return self.cache.get(f"session:{session_token}")
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def refresh_session(self, session_token: str, ttl_hours: int = 24):
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"""Refresh session TTL"""
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return self.cache.expire(f"session:{session_token}", ttl_hours * 3600)
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def invalidate_session(self, session_token: str):
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"""Invalidate user session"""
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return self.cache.delete(f"session:{session_token}")
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def get_user_sessions(self, userid: int) -> list[str]:
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"""Get all active sessions for user"""
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pattern = "session:*"
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keys = self.cache.client.keys(pattern)
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user_sessions = []
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for key in keys:
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session_data = self.cache.get(key.replace("session:", ""))
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if session_data and session_data.get("userid") == userid:
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user_sessions.append(key)
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return user_sessions
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class MobileSyncService:
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"""Reliable mobile offline synchronization"""
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def __init__(self):
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self.cache = DragonflyCache("mobile")
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def queue_sync_action(self, userid: int, action: dict[str, Any]):
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"""Queue a sync action for mobile device"""
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queue_key = f"sync_queue:user:{userid}"
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return self.cache.client.lpush(queue_key, json.dumps(action))
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def get_sync_actions(self, userid: int, count: int = 10) -> list[dict[str, Any]]:
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"""Get pending sync actions for user"""
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queue_key = f"sync_queue:user:{userid}"
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actions_data = self.cache.client.lrange(queue_key, 0, count - 1)
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actions = []
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for action_data in actions_data:
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try:
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actions.append(json.loads(action_data))
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except json.JSONDecodeError:
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continue
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return actions
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def mark_sync_completed(self, userid: int, action_id: str):
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"""Mark sync action as completed"""
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# Remove from queue
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queue_key = f"sync_queue:user:{userid}"
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return self.cache.client.lrem(queue_key, 1, action_id)
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def set_sync_state(self, userid: int, device_id: str, state: dict[str, Any]):
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"""Set device sync state"""
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state_key = f"sync_state:user:{userid}:device:{device_id}"
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return self.cache.set(state_key, state, ttl_hours=24)
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def get_sync_state(self, userid: int, device_id: str) -> dict[str, Any] | None:
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"""Get device sync state"""
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state_key = f"sync_state:user:{userid}:device:{device_id}"
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return self.cache.get(state_key)
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class RealTimeFeaturesService:
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"""Real-time features like play counts and favorites"""
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def __init__(self):
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self.playcount_cache = DragonflyCache("playcounts")
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self.recent_cache = DragonflyCache("recent")
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self.favorite_cache = DragonflyCache("favorites")
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def increment_playcount(self, trackhash: str, userid: int | None = None):
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"""Increment track play count"""
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key = f"plays:{trackhash}"
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if userid:
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key = f"plays:user:{userid}:track:{trackhash}"
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return self.playcount_cache.client.incr(key)
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def get_playcount(self, trackhash: str, userid: int | None = None) -> int:
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"""Get track play count"""
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key = f"plays:{trackhash}"
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if userid:
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key = f"plays:user:{userid}:track:{trackhash}"
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count = self.playcount_cache.client.get(key)
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return int(count) if count else 0
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def add_to_recently_played(self, userid: int, trackhash: str, limit: int = 50):
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"""Add track to recently played list"""
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key = f"recent:user:{userid}"
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# Add to beginning of list
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self.recent_cache.client.lpush(key, trackhash)
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# Remove duplicates
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self.recent_cache.client.lrem(key, 1, trackhash)
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# Add back to beginning
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self.recent_cache.client.lpush(key, trackhash)
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# Limit list size
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self.recent_cache.client.ltrim(key, 0, limit - 1)
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# Set TTL
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self.recent_cache.client.expire(key, 7 * 24 * 3600) # 7 days
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def get_recently_played(self, userid: int, limit: int = 50) -> list[str]:
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"""Get recently played tracks for user"""
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key = f"recent:user:{userid}"
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return self.recent_cache.client.lrange(key, 0, limit - 1)
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def toggle_favorite(self, userid: int, trackhash: str) -> bool:
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"""Toggle favorite status for track"""
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key = f"fav:user:{userid}:track:{trackhash}"
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current = self.favorite_cache.client.get(key)
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if current:
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# Remove favorite
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self.favorite_cache.client.delete(key)
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return False
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else:
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# Add favorite
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self.favorite_cache.client.set(key, True, ttl_hours=24 * 30) # 30 days
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return True
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def is_favorite(self, userid: int, trackhash: str) -> bool:
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"""Check if track is favorited by user"""
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key = f"fav:user:{userid}:track:{trackhash}"
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return bool(self.favorite_cache.client.get(key))
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def get_user_favorites(self, userid: int) -> list[str]:
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"""Get all favorite tracks for user"""
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pattern = f"fav:user:{userid}:track:*"
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keys = self.favorite_cache.client.keys(pattern)
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favorites = []
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for key in keys:
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trackhash = key.split(":")[-1]
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favorites.append(trackhash)
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return favorites
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class SearchCacheService:
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"""High-performance search results caching"""
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def __init__(self):
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self.cache = DragonflyCache("search")
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def cache_search_results(
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self, query: str, results: dict[str, Any], ttl_hours: int = 6
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):
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"""Cache search results"""
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query_hash = hash(query) # Simple hash for key
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return self.cache.set(f"results:{query_hash}", results, ttl_hours)
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def get_search_results(self, query: str) -> dict[str, Any] | None:
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"""Get cached search results"""
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query_hash = hash(query)
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return self.cache.get(f"results:{query_hash}")
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def cache_suggestions(
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self, query_type: str, suggestions: list[str], ttl_hours: int = 12
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):
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"""Cache search suggestions"""
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return self.cache.set(f"suggestions:{query_type}", suggestions, ttl_hours)
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def get_suggestions(self, query_type: str) -> list[str]:
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"""Get cached search suggestions"""
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suggestions = self.cache.get(f"suggestions:{query_type}")
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return suggestions if suggestions else []
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def invalidate_search_cache(self, pattern: str = "*"):
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"""Invalidate search cache"""
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keys = self.cache.client.keys(f"search:{pattern}")
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if keys:
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return self.cache.client.delete(*keys)
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return True
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class JobQueueService:
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"""High-performance background job processing"""
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def __init__(self):
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self.cache = DragonflyCache("jobs")
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def enqueue_job(self, queue: str, job_data: dict[str, Any]):
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"""Add job to queue"""
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job_json = json.dumps(job_data)
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return self.cache.client.lpush(f"queue:{queue}", job_json)
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def dequeue_job(self, queue: str) -> dict[str, Any] | None:
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"""Get next job from queue"""
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job_json = self.cache.client.rpop(f"queue:{queue}")
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if job_json:
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try:
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return json.loads(job_json)
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except json.JSONDecodeError:
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return None
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return None
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def get_queue_size(self, queue: str) -> int:
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"""Get number of jobs in queue"""
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return self.cache.client.llen(f"queue:{queue}")
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def peek_jobs(self, queue: str, count: int = 10) -> list[dict[str, Any]]:
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"""Peek at jobs in queue without removing them"""
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jobs_data = self.cache.client.lrange(f"queue:{queue}", 0, count - 1)
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jobs = []
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for job_data in jobs_data:
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try:
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jobs.append(json.loads(job_data))
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except json.JSONDecodeError:
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continue
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return jobs
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def clear_queue(self, queue: str):
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"""Clear all jobs from queue"""
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return self.cache.client.delete(f"queue:{queue}")
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# Global service instances
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_track_cache_service: TrackCacheService | None = None
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_user_session_service: UserSessionService | None = None
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_mobile_sync_service: MobileSyncService | None = None
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_realtime_service: RealTimeFeaturesService | None = None
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_search_cache_service: SearchCacheService | None = None
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_job_queue_service: JobQueueService | None = None
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def get_track_cache_service() -> TrackCacheService:
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"""Get track cache service instance"""
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global _track_cache_service
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if _track_cache_service is None:
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_track_cache_service = TrackCacheService()
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return _track_cache_service
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def get_user_session_service() -> UserSessionService:
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"""Get user session service instance"""
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global _user_session_service
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if _user_session_service is None:
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_user_session_service = UserSessionService()
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return _user_session_service
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def get_mobile_sync_service() -> MobileSyncService:
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"""Get mobile sync service instance"""
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global _mobile_sync_service
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if _mobile_sync_service is None:
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_mobile_sync_service = MobileSyncService()
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return _mobile_sync_service
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def get_realtime_service() -> RealTimeFeaturesService:
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"""Get real-time features service instance"""
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global _realtime_service
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if _realtime_service is None:
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_realtime_service = RealTimeFeaturesService()
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return _realtime_service
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def get_search_cache_service() -> SearchCacheService:
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"""Get search cache service instance"""
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global _search_cache_service
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if _search_cache_service is None:
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_search_cache_service = SearchCacheService()
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return _search_cache_service
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def get_job_queue_service() -> JobQueueService:
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"""Get job queue service instance"""
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global _job_queue_service
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if _job_queue_service is None:
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_job_queue_service = JobQueueService()
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return _job_queue_service
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def get_all_dragonfly_services() -> dict[str, Any]:
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"""Get all DragonflyDB services for monitoring"""
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return {
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"track_cache": get_track_cache_service(),
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"user_sessions": get_user_session_service(),
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"mobile_sync": get_mobile_sync_service(),
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"realtime": get_realtime_service(),
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"search_cache": get_search_cache_service(),
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"job_queue": get_job_queue_service(),
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}
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