KI-Chat-Bot-Eugen/utils.py
Claude 963a65536f
Implement complete Eugen Twitch chatbot
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
2026-01-02 11:18:40 +00:00

169 lines
4.8 KiB
Python

"""
Utility classes for Eugen Bot
Includes MentionDetector for name recognition and Logger for file logging
"""
import re
import logging
from pathlib import Path
from datetime import datetime
class MentionDetector:
"""Detects if the bot was mentioned in a chat message"""
def __init__(self, bot_name="Eugen"):
self.bot_name = bot_name
# Create patterns for various mention formats
self.patterns = [
rf"@{bot_name}", # @Eugen
rf"{bot_name}:", # Eugen:
rf"{bot_name},", # Eugen,
rf"^{bot_name}\s", # Eugen at start
rf"\s{bot_name}\s", # Eugen in middle
rf"\s{bot_name}$", # Eugen at end
]
# Case-insensitive compilation
self.compiled_patterns = [
re.compile(pattern, re.IGNORECASE) for pattern in self.patterns
]
def is_mentioned(self, message):
"""
Check if bot was mentioned in message
Args:
message (str): Chat message to check
Returns:
bool: True if bot was mentioned
"""
if not message:
return False
for pattern in self.compiled_patterns:
if pattern.search(message):
return True
return False
def extract_content(self, message):
"""
Extract message content without the mention
Args:
message (str): Original message with mention
Returns:
str: Message content without mention prefix
"""
if not message:
return ""
# Remove common mention patterns
content = message
patterns_to_remove = [
rf"@{self.bot_name}[,:]?\s*",
rf"{self.bot_name}[,:]?\s*",
]
for pattern in patterns_to_remove:
content = re.sub(pattern, "", content, flags=re.IGNORECASE)
return content.strip()
class Logger:
"""File-based logger for bot events"""
def __init__(self, log_dir="logs", debug_mode=False):
self.log_dir = Path(log_dir)
self.log_dir.mkdir(parents=True, exist_ok=True)
self.debug_mode = debug_mode
# Setup main logger
self.main_logger = self._setup_logger(
"eugen_main",
self.log_dir / "eugen.log",
logging.INFO if not debug_mode else logging.DEBUG
)
# Setup API debug logger
self.api_logger = self._setup_logger(
"eugen_api",
self.log_dir / "api_debug.log",
logging.DEBUG
)
def _setup_logger(self, name, log_file, level):
"""Setup a logger with file handler"""
logger = logging.getLogger(name)
logger.setLevel(level)
# Avoid duplicate handlers
if logger.handlers:
return logger
# File handler
fh = logging.FileHandler(log_file, encoding='utf-8')
fh.setLevel(level)
# Format
formatter = logging.Formatter(
'%(asctime)s | %(levelname)s | %(message)s',
datefmt='%Y-%m-%d %H:%M:%S'
)
fh.setFormatter(formatter)
logger.addHandler(fh)
# Console handler for debug mode
if self.debug_mode:
ch = logging.StreamHandler()
ch.setLevel(level)
ch.setFormatter(formatter)
logger.addHandler(ch)
return logger
def info(self, message):
"""Log info message"""
self.main_logger.info(message)
def debug(self, message):
"""Log debug message"""
self.main_logger.debug(message)
def error(self, message):
"""Log error message"""
self.main_logger.error(message)
def warning(self, message):
"""Log warning message"""
self.main_logger.warning(message)
def api_call(self, endpoint, model, messages_count):
"""Log API call details"""
self.api_logger.debug(
f"API CALL | Endpoint: {endpoint} | Model: {model} | Messages: {messages_count}"
)
def api_response(self, status_code, tokens_used, response_time, content_preview):
"""Log API response details"""
self.api_logger.debug(
f"API RESPONSE | Status: {status_code} | Tokens: {tokens_used} | "
f"Time: {response_time:.2f}s | Content: {content_preview[:100]}..."
)
def api_error(self, status_code, error_message):
"""Log API error"""
self.api_logger.error(
f"API ERROR | Status: {status_code} | Error: {error_message}"
)
def chat_message(self, username, message):
"""Log chat message"""
if self.debug_mode:
self.main_logger.debug(f"CHAT | {username}: {message}")
def bot_response(self, username, response):
"""Log bot response"""
if self.debug_mode:
self.main_logger.debug(f"BOT RESPONSE | To {username}: {response}")