Fixed inconsistent error handling in ai_provider.py and memory.py by:
- Adding optional logger parameter to PerplexityProvider and ConversationMemory classes
- Replacing all print() statements with proper logger.error() calls
- Updating chatbot.py to pass logger instance to both components
- Ensuring consistent logging architecture across the codebase
This improves error visibility and integrates with the existing logging infrastructure.
- Log extracted content to help debug empty content issue
- Add warning when content is empty after mention extraction
- Display extraction info in dashboard for better visibility
Helps diagnose why bot detects mentions but doesn't respond
This commit implements the full Eugen bot based on specifications in CLAUDE.md and eugen_claude.md.
Features implemented:
- Smart name recognition (@Eugen, Eugen:, etc.)
- Persistent conversation memory per user (max 25 messages, 1 hour retention)
- Perplexity Sonar API integration for AI responses
- Live monitoring dashboard with PySimpleGUI
- Setup wizard for first-time configuration
- Comprehensive logging (main log + API debug log)
Files added:
- config.py: Configuration management from .env and config.json
- utils.py: MentionDetector and Logger utility classes
- memory.py: ConversationMemory for persistent chat history
- ai_provider.py: PerplexityProvider for API integration
- gui.py: Dashboard and SetupWizard GUI components
- chatbot.py: Main EugenBot orchestrator with IRC handling
- requirements.txt: Python dependencies
- .env.example: Template for environment variables
- .gitignore: Renamed from gitignore for proper Git usage
Updated:
- README.md: Complete usage instructions and documentation
The bot is ready to use - users just need to add their API keys and run python chatbot.py
