feat: Implement comprehensive non-hierarchical logging system

- Created new logging infrastructure with per-component filtering
- Added 6 log levels: DEBUG, INFO, API, WARNING, ERROR, CRITICAL
- Implemented non-hierarchical level control (any combination can be enabled)
- Migrated 917 print() statements across 31 files to structured logging
- Created web UI (system.html) for runtime configuration with dark theme
- Added global level controls to enable/disable levels across all components
- Added timestamp format control (off/time/date/datetime options)
- Implemented log rotation (10MB per file, 5 backups)
- Added API endpoints for dynamic log configuration
- Configured HTTP request logging with filtering via api.requests component
- Intercepted APScheduler logs with proper formatting
- Fixed persistence paths to use /app/memory for Docker volume compatibility
- Fixed checkbox display bug in web UI (enabled_levels now properly shown)
- Changed System Settings button to open in same tab instead of new window

Components: bot, api, api.requests, autonomous, persona, vision, llm,
conversation, mood, dm, scheduled, gpu, media, server, commands,
sentiment, core, apscheduler

All settings persist across container restarts via JSON config.

bot/utils/sentiment_analysis.py

@@ -1,4 +1,7 @@
 from utils.llm import query_llama
+from utils.logger import get_logger
+
+logger = get_logger('sentiment')
 
 async def analyze_sentiment(messages: list) -> tuple[str, float]:
     """
@@ -40,5 +43,5 @@ Response:"""
         
         return summary, score
     except Exception as e:
-        print(f"Error in sentiment analysis: {e}")
+        logger.error(f"Error in sentiment analysis: {e}")
         return "Error analyzing sentiment", 0.5