mirror of
https://github.com/Dvorinka/SpotifyRecAlg.git
synced 2026-06-04 12:33:03 +00:00
Tomas Dvorak
926 lines
32 KiB
Python
926 lines
32 KiB
Python
"""
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Robust Statistics System for SwingMusic
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Prevents data loss with backup, validation, and integrity checks
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"""
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import hashlib
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import json
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import os
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import shutil
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import sqlite3
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import threading
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import time
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from dataclasses import dataclass
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from pathlib import Path
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from typing import Any
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from swingmusic import logger
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from swingmusic.db.sqlite.utils import get_db_connection
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@dataclass
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class ListeningStats:
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"""Listening statistics for a track"""
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user_id: str
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track_id: str
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play_count: int
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last_played: float
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total_time: int # Total seconds listened
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skip_count: int
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favorite: bool
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rating: int | None # 1-5 stars
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created_at: float
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updated_at: float
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@dataclass
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class ArtistStats:
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"""Artist-level statistics"""
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artist_id: str
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artist_name: str
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total_plays: int
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total_time: int
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unique_tracks: int
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last_played: float
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favorite_tracks: list[str]
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@dataclass
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class AlbumStats:
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"""Album-level statistics"""
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album_id: str
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album_name: str
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artist_name: str
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total_plays: int
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total_time: int
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unique_tracks: int
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last_played: float
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completion_rate: float # Percentage of album listened to
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@dataclass
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class BackupEntry:
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"""Backup entry metadata"""
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backup_id: str
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timestamp: float
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backup_type: str # 'full', 'incremental', 'auto'
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file_path: str
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checksum: str
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size: int
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compressed: bool
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class StatisticsValidator:
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"""Validates statistics data integrity"""
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@staticmethod
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def validate_listening_data(data: dict[str, Any]) -> tuple[bool, list[str]]:
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"""Validate listening statistics data"""
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errors = []
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# Required fields
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required_fields = ["user_id", "track_id", "play_count", "last_played"]
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for field in required_fields:
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if field not in data:
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errors.append(f"Missing required field: {field}")
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# Data type validation
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if "play_count" in data and not isinstance(data["play_count"], int):
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errors.append("play_count must be an integer")
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if "last_played" in data and not isinstance(data["last_played"], (int, float)):
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errors.append("last_played must be a timestamp")
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if "total_time" in data and not isinstance(data["total_time"], int):
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errors.append("total_time must be an integer")
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# Value validation
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if "play_count" in data and data["play_count"] < 0:
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errors.append("play_count cannot be negative")
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if "total_time" in data and data["total_time"] < 0:
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errors.append("total_time cannot be negative")
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if "rating" in data and data["rating"] is not None:
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if not isinstance(data["rating"], int) or not (1 <= data["rating"] <= 5):
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errors.append("rating must be an integer between 1 and 5")
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return len(errors) == 0, errors
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@staticmethod
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def validate_timestamp_consistency(stats: list[ListeningStats]) -> list[str]:
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"""Validate timestamp consistency across statistics"""
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errors = []
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current_time = time.time()
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for stat in stats:
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# Check for future timestamps
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if stat.last_played > current_time + 60: # Allow 1 minute buffer
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errors.append(f"Future timestamp detected for track {stat.track_id}")
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# Check for very old timestamps (before 2000)
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if stat.last_played < 946684800: # Jan 1, 2000
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errors.append(f"Suspicious old timestamp for track {stat.track_id}")
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# Check if updated_at >= last_played
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if stat.updated_at < stat.last_played:
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errors.append(
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f"updated_at before last_played for track {stat.track_id}"
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)
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return errors
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@staticmethod
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def calculate_checksum(data: Any) -> str:
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"""Calculate SHA-256 checksum of data"""
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if isinstance(data, str):
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data_bytes = data.encode("utf-8")
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elif isinstance(data, dict):
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data_bytes = json.dumps(data, sort_keys=True).encode("utf-8")
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else:
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data_bytes = str(data).encode("utf-8")
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return hashlib.sha256(data_bytes).hexdigest()
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class StatisticsBackup:
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"""Manages statistics backups with compression and verification"""
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def __init__(self, backup_dir: str = None):
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self.backup_dir = backup_dir or os.path.join(
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Path.home(), ".swingmusic", "backups", "statistics"
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)
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os.makedirs(self.backup_dir, exist_ok=True)
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# Backup configuration
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self.max_backups = 10 # Maximum number of backups to keep
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self.auto_backup_interval = 3600 # 1 hour in seconds
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self.compress_backups = True
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def create_backup(self, backup_type: str = "auto") -> BackupEntry:
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"""Create a statistics backup"""
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timestamp = time.time()
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backup_id = f"stats_{backup_type}_{int(timestamp)}"
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backup_file = os.path.join(self.backup_dir, f"{backup_id}.json")
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try:
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# Collect statistics data
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stats_data = self._collect_statistics_data()
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# Create backup entry
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backup_entry = BackupEntry(
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backup_id=backup_id,
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timestamp=timestamp,
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backup_type=backup_type,
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file_path=backup_file,
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checksum="",
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size=0,
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compressed=self.compress_backups,
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)
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# Write backup file
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with open(backup_file, "w", encoding="utf-8") as f:
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json.dump(stats_data, f, indent=2, ensure_ascii=False)
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# Calculate checksum and size
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backup_entry.checksum = StatisticsValidator.calculate_checksum(stats_data)
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backup_entry.size = os.path.getsize(backup_file)
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# Compress if enabled
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if self.compress_backups:
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backup_file = self._compress_backup(backup_file)
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backup_entry.file_path = backup_file
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backup_entry.size = os.path.getsize(backup_file)
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logger.info(f"Created statistics backup: {backup_id}")
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return backup_entry
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except Exception as e:
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logger.error(f"Failed to create statistics backup: {e}")
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if os.path.exists(backup_file):
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os.remove(backup_file)
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raise
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def _collect_statistics_data(self) -> dict[str, Any]:
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"""Collect all statistics data from database"""
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try:
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with get_db_connection() as conn:
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# Get listening statistics
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cursor = conn.execute("""
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SELECT
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user_id,
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trackhash as track_id,
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playcount as play_count,
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lastplayed as last_played,
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total_time,
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skip_count,
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favorite,
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rating,
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created_at,
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updated_at
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FROM listening_stats
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""")
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listening_stats = [dict(row) for row in cursor.fetchall()]
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# Get artist statistics
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cursor = conn.execute("""
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SELECT
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artist_id,
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artist_name,
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total_plays,
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total_time,
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unique_tracks,
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last_played,
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favorite_tracks
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FROM artist_stats
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""")
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artist_stats = [dict(row) for row in cursor.fetchall()]
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# Get album statistics
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cursor = conn.execute("""
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SELECT
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album_id,
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album_name,
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artist_name,
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total_plays,
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total_time,
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unique_tracks,
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last_played,
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completion_rate
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FROM album_stats
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""")
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album_stats = [dict(row) for row in cursor.fetchall()]
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return {
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"backup_timestamp": time.time(),
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"listening_stats": listening_stats,
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"artist_stats": artist_stats,
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"album_stats": album_stats,
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"version": "1.0",
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}
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except Exception as e:
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logger.error(f"Error collecting statistics data: {e}")
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return {}
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def _compress_backup(self, file_path: str) -> str:
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"""Compress backup file using gzip"""
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try:
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import gzip
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compressed_path = file_path + ".gz"
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with open(file_path, "rb") as f_in:
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with gzip.open(compressed_path, "wb") as f_out:
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shutil.copyfileobj(f_in, f_out)
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# Remove uncompressed file
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os.remove(file_path)
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return compressed_path
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except ImportError:
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logger.warning("gzip not available, backup not compressed")
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return file_path
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except Exception as e:
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logger.error(f"Error compressing backup: {e}")
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return file_path
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def restore_backup(self, backup_id: str) -> bool:
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"""Restore statistics from backup"""
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backup_file = None
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try:
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# Find backup file
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if backup_id.endswith(".gz"):
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backup_file = os.path.join(self.backup_dir, backup_id)
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else:
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backup_file = os.path.join(self.backup_dir, f"{backup_id}.json")
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if not os.path.exists(backup_file):
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backup_file = os.path.join(self.backup_dir, f"{backup_id}.json.gz")
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if not os.path.exists(backup_file):
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logger.error(f"Backup file not found: {backup_id}")
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return False
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# Load backup data
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stats_data = self._load_backup_file(backup_file)
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if not stats_data:
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logger.error("Failed to load backup data")
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return False
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# Restore data to database
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success = self._restore_statistics_data(stats_data)
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if success:
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logger.info(
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f"Successfully restored statistics from backup: {backup_id}"
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)
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else:
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logger.error(f"Failed to restore statistics from backup: {backup_id}")
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return success
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except Exception as e:
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logger.error(f"Error restoring backup {backup_id}: {e}")
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return False
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def _load_backup_file(self, file_path: str) -> dict[str, Any] | None:
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"""Load backup file (compressed or uncompressed)"""
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try:
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if file_path.endswith(".gz"):
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import gzip
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with gzip.open(file_path, "rt", encoding="utf-8") as f:
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return json.load(f)
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else:
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with open(file_path, encoding="utf-8") as f:
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return json.load(f)
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except Exception as e:
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logger.error(f"Error loading backup file {file_path}: {e}")
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return None
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def _restore_statistics_data(self, stats_data: dict[str, Any]) -> bool:
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"""Restore statistics data to database"""
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try:
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with get_db_connection() as conn:
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# Clear existing statistics
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conn.execute("DELETE FROM listening_stats")
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conn.execute("DELETE FROM artist_stats")
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conn.execute("DELETE FROM album_stats")
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# Restore listening statistics
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if "listening_stats" in stats_data:
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for stat in stats_data["listening_stats"]:
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conn.execute(
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"""
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INSERT INTO listening_stats (
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user_id, trackhash, playcount, lastplayed, total_time,
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skip_count, favorite, rating, created_at, updated_at
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) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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""",
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(
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stat["user_id"],
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stat["track_id"],
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stat["play_count"],
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stat["last_played"],
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stat["total_time"],
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stat.get("skip_count", 0),
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stat.get("favorite", False),
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stat.get("rating"),
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stat.get("created_at", time.time()),
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stat.get("updated_at", time.time()),
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),
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)
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# Restore artist statistics
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if "artist_stats" in stats_data:
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for stat in stats_data["artist_stats"]:
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conn.execute(
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"""
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INSERT INTO artist_stats (
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artist_id, artist_name, total_plays, total_time,
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unique_tracks, last_played, favorite_tracks
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) VALUES (?, ?, ?, ?, ?, ?, ?)
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""",
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(
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stat["artist_id"],
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stat["artist_name"],
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stat["total_plays"],
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stat["total_time"],
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stat["unique_tracks"],
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stat["last_played"],
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json.dumps(stat.get("favorite_tracks", [])),
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),
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)
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# Restore album statistics
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if "album_stats" in stats_data:
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for stat in stats_data["album_stats"]:
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conn.execute(
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"""
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INSERT INTO album_stats (
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album_id, album_name, artist_name, total_plays,
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total_time, unique_tracks, last_played, completion_rate
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) VALUES (?, ?, ?, ?, ?, ?, ?, ?)
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""",
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(
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stat["album_id"],
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stat["album_name"],
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stat["artist_name"],
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stat["total_plays"],
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stat["total_time"],
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stat["unique_tracks"],
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stat["last_played"],
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stat.get("completion_rate", 0.0),
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),
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)
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conn.commit()
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return True
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except Exception as e:
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logger.error(f"Error restoring statistics data: {e}")
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return False
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def list_backups(self) -> list[BackupEntry]:
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"""List all available backups"""
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backups = []
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try:
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for file_name in os.listdir(self.backup_dir):
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if file_name.endswith((".json", ".gz")):
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file_path = os.path.join(self.backup_dir, file_name)
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# Extract backup info from filename
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parts = file_name.replace(".json", "").replace(".gz", "").split("_")
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if len(parts) >= 3:
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backup_type = parts[1]
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timestamp = float(parts[2])
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backup_entry = BackupEntry(
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backup_id=file_name.replace(".json", "").replace(".gz", ""),
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timestamp=timestamp,
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backup_type=backup_type,
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file_path=file_path,
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checksum="",
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size=os.path.getsize(file_path),
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compressed=file_path.endswith(".gz"),
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)
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backups.append(backup_entry)
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# Sort by timestamp (newest first)
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backups.sort(key=lambda x: x.timestamp, reverse=True)
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except Exception as e:
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logger.error(f"Error listing backups: {e}")
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return backups
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def cleanup_old_backups(self):
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"""Remove old backups, keeping only the most recent ones"""
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backups = self.list_backups()
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if len(backups) > self.max_backups:
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# Keep the most recent backups
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backups[: self.max_backups]
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backups_to_remove = backups[self.max_backups :]
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for backup in backups_to_remove:
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try:
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os.remove(backup.file_path)
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logger.info(f"Removed old backup: {backup.backup_id}")
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except Exception as e:
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logger.error(f"Error removing backup {backup.backup_id}: {e}")
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|
|
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class RobustStatisticsManager:
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"""Robust statistics manager with backup and validation"""
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def __init__(self):
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self.backup_manager = StatisticsBackup()
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self.validator = StatisticsValidator()
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self.last_backup_time = 0
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self.backup_lock = threading.Lock()
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# Start auto-backup thread
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self._start_auto_backup()
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def _start_auto_backup(self):
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"""Start automatic backup thread"""
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def backup_worker():
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while True:
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time.sleep(self.backup_manager.auto_backup_interval)
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try:
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self._create_auto_backup()
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except Exception as e:
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logger.error(f"Auto-backup failed: {e}")
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backup_thread = threading.Thread(target=backup_worker, daemon=True)
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backup_thread.start()
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def _create_auto_backup(self):
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"""Create automatic backup"""
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with self.backup_lock:
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try:
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self.backup_manager.create_backup("auto")
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self.last_backup_time = time.time()
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self.backup_manager.cleanup_old_backups()
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except Exception as e:
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logger.error(f"Auto-backup failed: {e}")
|
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|
|
async def update_listening_stats(
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self, user_id: str, track_id: str, listening_data: dict[str, Any]
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) -> bool:
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"""Update statistics with data integrity checks"""
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try:
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# Validate data before storage
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is_valid, errors = self.validator.validate_listening_data(listening_data)
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if not is_valid:
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logger.error(f"Invalid listening data: {errors}")
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return False
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|
|
# Create backup before update
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|
backup_success = self._create_update_backup(user_id)
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if not backup_success:
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logger.warning("Failed to create backup before statistics update")
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# Update with transaction
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|
with get_db_connection() as conn:
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conn.execute("BEGIN TRANSACTION")
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try:
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# Update or insert listening stats
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cursor = conn.execute(
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"""
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SELECT playcount, total_time, skip_count, favorite, rating
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FROM listening_stats
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WHERE user_id = ? AND trackhash = ?
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""",
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(user_id, track_id),
|
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)
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existing = cursor.fetchone()
|
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|
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if existing:
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# Update existing record
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|
new_play_count = existing["playcount"] + listening_data.get(
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"play_count", 1
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)
|
|
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()
|