Enhanced bot to respond to partial names and ambiguous greetings:
MentionDetector improvements (utils.py):
- Auto-generate nicknames from bot name (kenearosmd → Kene, Kenearos)
- Add patterns for all nicknames (full name + partial names)
- New is_ambiguous_greeting() method for greetings without clear mention
- Updated extract_content() to remove all name variants
Bot logic improvements (chatbot.py):
- New check_if_addressed() method uses AI to determine if ambiguous
messages are directed at the bot
- AI analyzes greetings like "Hi wie gehts" and decides if bot should respond
- If AI confirms, message is processed like a normal mention
Recognition examples:
- kenearosmd: wie gehts → responds ✅
- Kene was meinst du → responds ✅
- Kenearos! → responds ✅
- Hi wie gehts → AI checks context → responds if appropriate ✅
This prevents the bot from spamming on every greeting while still
being responsive when addressed indirectly.
The bot was detecting mentions correctly but not responding because
the async event loop was never started.
Changes:
- Created separate _run_event_loop() method to run loop.run_forever()
- Start event loop in its own daemon thread before IRC bot
- IRC bot thread no longer sets event loop (handled by loop thread)
- Now asyncio.run_coroutine_threadsafe() can properly execute async tasks
This fixes the issue where mentions were detected but handle_mention()
was never executed because there was no running event loop to process
the coroutine.
Improved error handling in bot shutdown process:
- Check connection state before attempting to quit IRC
- Use thread-safe event loop shutdown
- Filter expected shutdown errors from error logs
- Changed shutdown errors to debug level logging
This prevents the "file descriptor cannot be a negative integer (-1)"
error from appearing as an ERROR when cleanly shutting down the bot.
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
