Implement comprehensive professional logging system

Added complete logging infrastructure for AI-only development debugging:

**Core Logging Features:**
- Command-line debug flags: -d (console) and -d filename (file output)
- Custom log format: "message - severity - timestamp"
- Professional Python logging with hierarchical loggers (bifrost.module)
- Clean separation: debug mode vs production (warnings/errors only)

**Comprehensive Coverage - Replaced 55+ Print Statements:**
- timeline_view.py: Timeline operations, new content detection, sound events
- main_window.py: Auto-refresh system, streaming mode, UI events
- activitypub/client.py: API calls, streaming connections, server detection
- audio/sound_manager.py: Sound playback, pack loading, volume control
- error_manager.py: Centralized error handling with proper log levels
- All remaining modules: Complete print statement elimination

**Enhanced Auto-Refresh Debugging:**
- Fixed repetitive refresh interval logging (only logs on changes)
- Added detailed auto-refresh execution tracing with timing
- New content detection logging with post ID tracking
- Sound event logging showing which sounds play and why

**Sound System Visibility:**
- Complete audio event logging with file paths and volumes
- Sound pack loading and fallback detection
- Audio playback success/failure with detailed error context

**Documentation Updates:**
- README.md: Complete debug system documentation for users
- CLAUDE.md: Professional logging guidelines for AI development
- Comprehensive usage examples and troubleshooting guides

This logging system provides essential debugging capabilities for
the AI-only development constraint, enabling systematic issue
resolution without human code intervention.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

requirements.txt

@@ -3,4 +3,5 @@ requests>=2.25.0
 simpleaudio>=1.0.4
 plyer>=2.1.0
 emoji>=2.0.0
-numpy>=1.20.0
+numpy>=1.20.0
+websocket-client>=1.0.0