Replace print statements with proper logging
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.
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3 changed files with 22 additions and 12 deletions
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@ -5,13 +5,14 @@ Handles communication with Perplexity Sonar API
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import httpx
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import json
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import time
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import logging
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from typing import List, Dict, Optional
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class PerplexityProvider:
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"""Communicates with Perplexity API for AI responses"""
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def __init__(self, api_key, model="sonar-pro", max_tokens=450, temperature=0.7):
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def __init__(self, api_key, model="sonar-pro", max_tokens=450, temperature=0.7, logger=None):
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"""
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Initialize Perplexity API provider
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@ -20,12 +21,14 @@ class PerplexityProvider:
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model (str): Model to use (default: sonar-pro)
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max_tokens (int): Maximum tokens in response
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temperature (float): Sampling temperature
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logger: Optional logger instance for error reporting
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"""
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self.api_key = api_key
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self.model = model
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self.max_tokens = max_tokens
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self.temperature = temperature
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self.base_url = "https://api.perplexity.ai"
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self.logger = logger or logging.getLogger(__name__)
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# Statistics
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self.total_requests = 0
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@ -85,16 +88,16 @@ class PerplexityProvider:
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else:
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self.total_errors += 1
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error_msg = f"API Error {response.status_code}: {response.text}"
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print(error_msg)
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self.logger.error(error_msg)
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return None
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except httpx.TimeoutException:
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self.total_errors += 1
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print("API Timeout: Request took too long")
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self.logger.error("API Timeout: Request took too long")
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return None
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except Exception as e:
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self.total_errors += 1
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print(f"API Error: {str(e)}")
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self.logger.error(f"API Error: {str(e)}")
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return None
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async def validate_api_key(self):
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10
chatbot.py
10
chatbot.py
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@ -30,18 +30,22 @@ class EugenBot(irc.bot.SingleServerIRCBot):
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self.bot_name = config.bot_name
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self.channel = config.twitch_channel
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# Initialize logger first
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self.logger = Logger(log_dir=config.log_dir, debug_mode=config.debug_mode)
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# Initialize components
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self.memory = ConversationMemory(
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data_dir=config.data_dir,
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retention_hours=config.context_retention_hours
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retention_hours=config.context_retention_hours,
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logger=self.logger
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)
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self.ai = PerplexityProvider(
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api_key=config.perplexity_key,
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model=config.model,
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max_tokens=config.max_tokens
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max_tokens=config.max_tokens,
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logger=self.logger
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)
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self.detector = MentionDetector(bot_name=self.bot_name)
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self.logger = Logger(log_dir=config.log_dir, debug_mode=config.debug_mode)
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# Dashboard (will be initialized in GUI thread)
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self.dashboard = None
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13
memory.py
13
memory.py
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@ -3,6 +3,7 @@ Conversation Memory for Eugen Bot
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Stores and retrieves chat history per user with time-based filtering
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"""
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import json
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import logging
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from pathlib import Path
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from datetime import datetime, timedelta
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from typing import List, Dict, Optional
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@ -11,7 +12,7 @@ from typing import List, Dict, Optional
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class ConversationMemory:
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"""Manages persistent conversation history for each user"""
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def __init__(self, data_dir="data/conversations", max_messages=25, retention_hours=1):
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def __init__(self, data_dir="data/conversations", max_messages=25, retention_hours=1, logger=None):
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"""
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Initialize conversation memory
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@ -19,11 +20,13 @@ class ConversationMemory:
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data_dir (str): Directory to store conversation JSON files
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max_messages (int): Maximum messages to store per user
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retention_hours (int): How long to keep messages in context
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logger: Optional logger instance for error reporting
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"""
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self.data_dir = Path(data_dir)
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self.data_dir.mkdir(parents=True, exist_ok=True)
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self.max_messages = max_messages
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self.retention_hours = retention_hours
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self.logger = logger or logging.getLogger(__name__)
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def _get_user_file(self, username):
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"""Get the file path for a user's conversation history"""
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@ -51,7 +54,7 @@ class ConversationMemory:
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with open(file_path, 'r', encoding='utf-8') as f:
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history = json.load(f)
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except Exception as e:
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print(f"Error loading history for {username}: {e}")
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self.logger.error(f"Error loading history for {username}: {e}")
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return []
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# Filter by retention time
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@ -87,7 +90,7 @@ class ConversationMemory:
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with open(file_path, 'r', encoding='utf-8') as f:
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history = json.load(f)
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except Exception as e:
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print(f"Error loading history for {username}: {e}")
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self.logger.error(f"Error loading history for {username}: {e}")
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history = []
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# Add new message
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@ -106,7 +109,7 @@ class ConversationMemory:
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with open(file_path, 'w', encoding='utf-8') as f:
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json.dump(history, f, ensure_ascii=False, indent=2)
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except Exception as e:
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print(f"Error saving history for {username}: {e}")
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self.logger.error(f"Error saving history for {username}: {e}")
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def format_for_prompt(self, history):
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"""
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@ -138,7 +141,7 @@ class ConversationMemory:
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try:
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file_path.unlink()
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except Exception as e:
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print(f"Error clearing history for {username}: {e}")
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self.logger.error(f"Error clearing history for {username}: {e}")
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def get_all_users(self):
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"""
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