461 lines
28 KiB
Python
461 lines
28 KiB
Python
import asyncio
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import time
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import random
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import traceback
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import os
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import json
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import aiohttp
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import discord # Added import
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from collections import defaultdict
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from typing import TYPE_CHECKING, Any, List, Dict # Added List, Dict
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# Use google.generativeai instead of vertexai directly
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from google import genai
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from google.genai import types
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# from google.protobuf import json_format # No longer needed for args parsing
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# Relative imports
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from .config import (
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GOAL_CHECK_INTERVAL, GOAL_EXECUTION_INTERVAL, LEARNING_UPDATE_INTERVAL, EVOLUTION_UPDATE_INTERVAL, INTEREST_UPDATE_INTERVAL,
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INTEREST_DECAY_INTERVAL_HOURS, INTEREST_PARTICIPATION_BOOST,
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INTEREST_POSITIVE_REACTION_BOOST, INTEREST_NEGATIVE_REACTION_PENALTY,
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INTEREST_FACT_BOOST, PROACTIVE_GOAL_CHECK_INTERVAL, STATS_PUSH_INTERVAL, # Added stats interval
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MOOD_OPTIONS, MOOD_CATEGORIES, MOOD_CHANGE_INTERVAL_MIN, MOOD_CHANGE_INTERVAL_MAX, # Mood change imports
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BASELINE_PERSONALITY, # For default traits
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REFLECTION_INTERVAL_SECONDS # Import reflection interval
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)
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# Assuming analysis functions are moved
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from .analysis import (
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analyze_conversation_patterns, evolve_personality, identify_conversation_topics,
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reflect_on_memories, decompose_goal_into_steps, # Import goal decomposition
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proactively_create_goals # Import placeholder for proactive goal creation
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)
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# Import helpers from api.py
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from .api import (
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get_internal_ai_json_response,
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call_google_genai_api_with_retry, # Import the retry helper
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find_function_call_in_parts, # Import function call finder
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_get_response_text, # Import text extractor
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_preprocess_schema_for_vertex, # Import schema preprocessor (name kept for now)
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STANDARD_SAFETY_SETTINGS, # Import safety settings
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process_requested_tools # Import tool processor
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)
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if TYPE_CHECKING:
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from .cog import FreakTetoCog # For type hinting - Updated
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# --- Tool Mapping Import ---
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# Import the mapping to execute tools by name
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from .tools import TOOL_MAPPING, send_discord_message # Also import send_discord_message directly for goal execution reporting
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from .config import TOOLS # Import FunctionDeclaration list for tool metadata
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# --- Background Task ---
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async def background_processing_task(cog: 'FreakTetoCog'): # Updated type hint
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"""Background task that periodically analyzes conversations, evolves personality, updates interests, changes mood, reflects on memory, and pushes stats."""
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# Get API details from environment for stats pushing
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api_internal_url = os.getenv("API_INTERNAL_URL")
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# Use a potentially different secret for Freak Teto stats, no fallback needed conceptually
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freak_teto_stats_push_secret = os.getenv("FREAK_TETO_STATS_PUSH_SECRET") # Removed fallback to Gurt's secret
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if not api_internal_url:
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print("WARNING: API_INTERNAL_URL not set. Freak Teto stats will not be pushed.") # Updated log
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if not freak_teto_stats_push_secret:
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print("WARNING: FREAK_TETO_STATS_PUSH_SECRET not set. Freak Teto stats push endpoint is insecure and likely won't work.") # Updated log
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try:
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while True:
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await asyncio.sleep(15) # Check more frequently for stats push
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now = time.time()
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# --- Push Stats (Runs frequently) ---
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if api_internal_url and freak_teto_stats_push_secret and (now - cog.last_stats_push > STATS_PUSH_INTERVAL):
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print("Pushing Freak Teto stats to API server...") # Updated log
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try:
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# Call renamed stats method
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stats_data = await cog.get_freak_teto_stats()
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headers = {
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"Authorization": f"Bearer {freak_teto_stats_push_secret}",
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"Content-Type": "application/json"
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}
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# Use the cog's session, ensure it's created
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if cog.session:
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# Set a reasonable timeout for the stats push
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push_timeout = aiohttp.ClientTimeout(total=10) # 10 seconds total timeout
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async with cog.session.post(api_internal_url, json=stats_data, headers=headers, timeout=push_timeout, ssl=True) as response: # Explicitly enable SSL verification
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if response.status == 200:
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print(f"Successfully pushed Freak Teto stats (Status: {response.status})") # Log already updated
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else:
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error_text = await response.text()
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print(f"Failed to push Freak Teto stats (Status: {response.status}): {error_text[:200]}") # Log already updated
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else:
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print("Error pushing stats: FreakTetoCog session not initialized.") # Log already updated
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except aiohttp.ClientConnectorSSLError as ssl_err:
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print(f"SSL Error pushing Freak Teto stats: {ssl_err}. Ensure the API server's certificate is valid and trusted, or check network configuration.") # Log already updated
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print("If using a self-signed certificate for development, the bot process might need to trust it.")
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except aiohttp.ClientError as client_err:
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print(f"HTTP Client Error pushing Freak Teto stats: {client_err}") # Updated log
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except asyncio.TimeoutError:
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print("Timeout error pushing Freak Teto stats.") # Log already updated
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except Exception as e:
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print(f"Unexpected error pushing Freak Teto stats: {e}") # Log already updated
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traceback.print_exc()
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finally:
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cog.last_stats_push = now # Update timestamp even on failure/success to avoid spamming logs
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# --- Learning Analysis (Runs less frequently) ---
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if now - cog.last_learning_update > LEARNING_UPDATE_INTERVAL:
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if cog.message_cache['global_recent']:
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print("Running conversation pattern analysis (Freak Teto)...") # Updated log
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# Ensure analysis uses FreakTetoCog instance
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await analyze_conversation_patterns(cog)
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cog.last_learning_update = now
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print("Learning analysis cycle complete (Freak Teto).") # Updated log
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else:
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print("Skipping learning analysis (Freak Teto): No recent messages.") # Updated log
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# --- Evolve Personality (Runs moderately frequently) ---
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if now - cog.last_evolution_update > EVOLUTION_UPDATE_INTERVAL:
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print("Running personality evolution (Freak Teto)...") # Updated log
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# Ensure analysis uses FreakTetoCog instance
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await evolve_personality(cog)
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cog.last_evolution_update = now
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print("Personality evolution complete (Freak Teto).") # Updated log
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# --- Update Interests (Runs moderately frequently) ---
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if now - cog.last_interest_update > INTEREST_UPDATE_INTERVAL:
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print("Running interest update (Freak Teto)...") # Updated log
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await update_interests(cog) # Call the local helper function below
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print("Running interest decay check (Freak Teto)...") # Updated log
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# Ensure MemoryManager uses FreakTeto DB paths
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await cog.memory_manager.decay_interests(
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decay_interval_hours=INTEREST_DECAY_INTERVAL_HOURS
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)
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cog.last_interest_update = now # Reset timer after update and decay check
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print("Interest update and decay check complete (Freak Teto).") # Updated log
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# --- Memory Reflection (Runs less frequently) ---
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if now - cog.last_reflection_time > REFLECTION_INTERVAL_SECONDS:
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print("Running memory reflection (Freak Teto)...") # Updated log
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# Ensure analysis uses FreakTetoCog instance
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await reflect_on_memories(cog)
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cog.last_reflection_time = now # Update timestamp
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print("Memory reflection cycle complete (Freak Teto).") # Updated log
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# --- Goal Decomposition (Runs periodically) ---
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if now - cog.last_goal_check_time > GOAL_CHECK_INTERVAL:
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print("Checking for pending goals to decompose (Freak Teto)...") # Updated log
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try:
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# Ensure MemoryManager uses FreakTeto DB paths
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pending_goals = await cog.memory_manager.get_goals(status='pending', limit=3)
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for goal in pending_goals:
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goal_id = goal.get('goal_id')
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description = goal.get('description')
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if not goal_id or not description: continue
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print(f" - Decomposing goal ID {goal_id}: '{description}' (Freak Teto)") # Updated log
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# Ensure analysis uses FreakTetoCog instance
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plan = await decompose_goal_into_steps(cog, description)
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if plan and plan.get('goal_achievable') and plan.get('steps'):
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await cog.memory_manager.update_goal(goal_id, status='active', details=plan)
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print(f" - Goal ID {goal_id} decomposed and set to active (Freak Teto).") # Updated log
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elif plan:
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await cog.memory_manager.update_goal(goal_id, status='failed', details={"reason": plan.get('reasoning', 'Deemed unachievable by planner.')})
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print(f" - Goal ID {goal_id} marked as failed (unachievable, Freak Teto). Reason: {plan.get('reasoning')}") # Updated log
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else:
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await cog.memory_manager.update_goal(goal_id, status='failed', details={"reason": "Goal decomposition process failed."})
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print(f" - Goal ID {goal_id} marked as failed (decomposition error, Freak Teto).") # Updated log
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await asyncio.sleep(1)
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cog.last_goal_check_time = now
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except Exception as goal_e:
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print(f"Error during goal decomposition check (Freak Teto): {goal_e}") # Updated log
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traceback.print_exc()
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cog.last_goal_check_time = now
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# --- Goal Execution (Runs periodically) ---
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if now - cog.last_goal_execution_time > GOAL_EXECUTION_INTERVAL:
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print("Checking for active goals to execute (Freak Teto)...") # Updated log
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try:
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# Ensure MemoryManager uses FreakTeto DB paths
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active_goals = await cog.memory_manager.get_goals(status='active', limit=1)
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if active_goals:
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goal = active_goals[0]
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goal_id = goal.get('goal_id')
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description = goal.get('description')
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plan = goal.get('details')
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goal_context_guild_id = goal.get('guild_id')
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goal_context_channel_id = goal.get('channel_id')
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goal_context_user_id = goal.get('user_id')
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if goal_id and description and plan and isinstance(plan.get('steps'), list):
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print(f"--- Executing Goal ID {goal_id}: '{description}' (Freak Teto, Context: G={goal_context_guild_id}, C={goal_context_channel_id}, U={goal_context_user_id}) ---") # Updated log
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steps = plan['steps']
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current_step_index = plan.get('current_step_index', 0)
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goal_failed = False
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goal_completed = False
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if current_step_index < len(steps):
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step = steps[current_step_index]
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step_desc = step.get('step_description')
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tool_name = step.get('tool_name')
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tool_args = step.get('tool_arguments')
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print(f" - Step {current_step_index + 1}/{len(steps)}: {step_desc} (Freak Teto)") # Updated log
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if tool_name:
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print(f" - Attempting tool: {tool_name} with args: {tool_args} (Freak Teto)") # Updated log
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tool_func = TOOL_MAPPING.get(tool_name)
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tool_result = None
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tool_error = None
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tool_success = False
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if tool_func:
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try:
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args_to_pass = tool_args if isinstance(tool_args, dict) else {}
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print(f" - Executing: {tool_name}(cog, **{args_to_pass}) (Freak Teto)") # Updated log
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start_time = time.monotonic()
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# Ensure tool function uses FreakTetoCog instance correctly
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tool_result = await tool_func(cog, **args_to_pass)
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end_time = time.monotonic()
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print(f" - Tool '{tool_name}' returned: {str(tool_result)[:200]}... (Freak Teto)") # Updated log
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if isinstance(tool_result, dict) and "error" in tool_result:
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tool_error = tool_result["error"]
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print(f" - Tool '{tool_name}' reported error: {tool_error} (Freak Teto)") # Updated log
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cog.tool_stats[tool_name]["failure"] += 1
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else:
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tool_success = True
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print(f" - Tool '{tool_name}' executed successfully (Freak Teto).") # Updated log
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cog.tool_stats[tool_name]["success"] += 1
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cog.tool_stats[tool_name]["count"] += 1
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cog.tool_stats[tool_name]["total_time"] += (end_time - start_time)
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except Exception as exec_e:
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tool_error = f"Exception during execution: {str(exec_e)}"
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print(f" - Tool '{tool_name}' raised exception: {exec_e} (Freak Teto)") # Updated log
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traceback.print_exc()
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cog.tool_stats[tool_name]["failure"] += 1
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cog.tool_stats[tool_name]["count"] += 1
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else:
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tool_error = f"Tool '{tool_name}' not found in TOOL_MAPPING."
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print(f" - Error: {tool_error} (Freak Teto)") # Updated log
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# --- Send Update Message ---
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if goal_context_channel_id:
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step_number_display = current_step_index + 1
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status_emoji = "✅" if tool_success else "❌"
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step_result_summary = _create_result_summary(tool_result if tool_success else {"error": tool_error})
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update_message = (
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f"**Goal Update (Freak Teto, ID: {goal_id}, Step {step_number_display}/{len(steps)})** {status_emoji}\n" # Updated title
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f"> **Goal:** {description}\n"
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f"> **Step:** {step_desc}\n"
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f"> **Tool:** `{tool_name}`\n"
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f"> **Result:** `{step_result_summary}`"
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)
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if len(update_message) > 1900:
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update_message = update_message[:1900] + "...`"
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try:
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# Ensure send_discord_message uses FreakTetoCog instance
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await send_discord_message(cog, channel_id=goal_context_channel_id, message_content=update_message)
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print(f" - Sent goal update to channel {goal_context_channel_id} (Freak Teto)") # Updated log
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except Exception as msg_err:
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print(f" - Failed to send goal update message to channel {goal_context_channel_id}: {msg_err} (Freak Teto)") # Updated log
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# --- Handle Tool Outcome ---
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if tool_success:
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current_step_index += 1
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else:
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goal_failed = True
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plan['error_message'] = f"Failed at step {current_step_index + 1} ({tool_name}): {tool_error}"
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else:
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print(" - No tool required for this step (internal check/reasoning, Freak Teto).") # Updated log
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current_step_index += 1
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# Check if goal completed
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if not goal_failed and current_step_index >= len(steps):
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goal_completed = True
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# --- Update Goal Status ---
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plan['current_step_index'] = current_step_index
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if goal_completed:
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await cog.memory_manager.update_goal(goal_id, status='completed', details=plan)
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print(f"--- Goal ID {goal_id} completed successfully (Freak Teto). ---") # Updated log
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elif goal_failed:
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await cog.memory_manager.update_goal(goal_id, status='failed', details=plan)
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print(f"--- Goal ID {goal_id} failed (Freak Teto). ---") # Updated log
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else:
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await cog.memory_manager.update_goal(goal_id, details=plan)
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print(f" - Goal ID {goal_id} progress updated to step {current_step_index} (Freak Teto).") # Updated log
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else:
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print(f" - Goal ID {goal_id} is active but has invalid steps. Marking as failed (Freak Teto).") # Updated log
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await cog.memory_manager.update_goal(goal_id, status='failed', details={"reason": "Active goal has invalid step data."})
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else:
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print(f" - Skipping active goal ID {goal_id}: Missing description or valid plan (Freak Teto).") # Updated log
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if goal_id:
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await cog.memory_manager.update_goal(goal_id, status='failed', details={"reason": "Invalid plan structure found during execution."})
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else:
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print("No active goals found to execute (Freak Teto).") # Updated log
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cog.last_goal_execution_time = now
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except Exception as goal_exec_e:
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print(f"Error during goal execution check (Freak Teto): {goal_exec_e}") # Updated log
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traceback.print_exc()
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cog.last_goal_execution_time = now
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# --- Automatic Mood Change ---
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# Mood change logic might need persona adjustments if kept
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# await maybe_change_mood(cog)
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# --- Proactive Goal Creation Check ---
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if now - cog.last_proactive_goal_check > PROACTIVE_GOAL_CHECK_INTERVAL:
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print("Checking if Freak Teto should proactively create goals...") # Updated log
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try:
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# Ensure analysis uses FreakTetoCog instance
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await proactively_create_goals(cog)
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cog.last_proactive_goal_check = now
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print("Proactive goal check complete (Freak Teto).") # Updated log
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except Exception as proactive_e:
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print(f"Error during proactive goal check (Freak Teto): {proactive_e}") # Updated log
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traceback.print_exc()
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cog.last_proactive_goal_check = now
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except asyncio.CancelledError:
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print("Background processing task cancelled (Freak Teto)") # Updated log
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except Exception as e:
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print(f"Error in background processing task (Freak Teto): {e}") # Updated log
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traceback.print_exc()
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await asyncio.sleep(300)
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# --- Helper for Summarizing Tool Results ---
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def _create_result_summary(tool_result: Any, max_len: int = 200) -> str:
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# This helper seems generic enough, no changes needed unless specific keys are Gurt-only
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if isinstance(tool_result, dict):
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if "error" in tool_result:
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return f"Error: {str(tool_result['error'])[:max_len]}"
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elif "status" in tool_result:
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summary = f"Status: {tool_result['status']}"
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if "stdout" in tool_result and tool_result["stdout"]:
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summary += f", stdout: {tool_result['stdout'][:max_len//2]}"
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if "stderr" in tool_result and tool_result["stderr"]:
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summary += f", stderr: {tool_result['stderr'][:max_len//2]}"
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if "content" in tool_result:
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summary += f", content: {tool_result['content'][:max_len//2]}..."
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if "bytes_written" in tool_result:
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summary += f", bytes: {tool_result['bytes_written']}"
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if "message_id" in tool_result:
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summary += f", msg_id: {tool_result['message_id']}"
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return summary[:max_len]
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else:
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return f"Dict Result: {str(tool_result)[:max_len]}"
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elif isinstance(tool_result, str):
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return f"String Result: {tool_result[:max_len]}"
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elif tool_result is None:
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return "Result: None"
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else:
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return f"Result Type {type(tool_result)}: {str(tool_result)[:max_len]}"
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# --- Automatic Mood Change Logic ---
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# (Re-evaluate if mood changes make sense for Teto's persona)
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# async def maybe_change_mood(cog: 'FreakTetoCog'):
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# ...
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# --- Interest Update Logic ---
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async def update_interests(cog: 'FreakTetoCog'): # Updated type hint
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"""Analyzes recent activity and updates Freak Teto's interest levels.""" # Updated docstring
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print("Starting interest update cycle (Freak Teto)...") # Updated log
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try:
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interest_changes = defaultdict(float)
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# 1. Analyze participation in topics
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# Use renamed state variable
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print(f"Analyzing Freak Teto participation topics: {dict(cog.freak_teto_participation_topics)}") # Updated log and variable
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for topic, count in cog.freak_teto_participation_topics.items():
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boost = INTEREST_PARTICIPATION_BOOST * count
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interest_changes[topic] += boost
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print(f" - Participation boost for '{topic}': +{boost:.3f} (Count: {count})")
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# 2. Analyze reactions to bot's messages
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# Use renamed state variable
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print(f"Analyzing {len(cog.freak_teto_message_reactions)} reactions to Freak Teto's messages...") # Updated log and variable
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processed_reaction_messages = set()
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reactions_to_process = list(cog.freak_teto_message_reactions.items()) # Use renamed variable
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for message_id, reaction_data in reactions_to_process:
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if message_id in processed_reaction_messages: continue
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topic = reaction_data.get("topic")
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if not topic:
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try:
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# Ensure message cache access is correct for FreakTetoCog
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teto_msg_data = next((msg for msg in cog.message_cache['global_recent'] if msg['id'] == message_id), None)
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if teto_msg_data and teto_msg_data['content']:
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# Ensure analysis uses FreakTetoCog instance
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identified_topics = identify_conversation_topics(cog, [teto_msg_data])
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if identified_topics:
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topic = identified_topics[0]['topic']
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print(f" - Determined topic '{topic}' for reaction msg {message_id} retrospectively (Freak Teto).") # Updated log
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else: print(f" - Could not determine topic for reaction msg {message_id} retrospectively (Freak Teto)."); continue # Updated log
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else: print(f" - Could not find Freak Teto msg {message_id} in cache for reaction analysis."); continue # Updated log
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except Exception as topic_e: print(f" - Error determining topic for reaction msg {message_id}: {topic_e}"); continue
|
|
|
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if topic:
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|
topic = topic.lower().strip()
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pos_reactions = reaction_data.get("positive", 0)
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neg_reactions = reaction_data.get("negative", 0)
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|
change = 0
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if pos_reactions > neg_reactions: change = INTEREST_POSITIVE_REACTION_BOOST * (pos_reactions - neg_reactions)
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elif neg_reactions > pos_reactions: change = INTEREST_NEGATIVE_REACTION_PENALTY * (neg_reactions - pos_reactions)
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if change != 0:
|
|
interest_changes[topic] += change
|
|
print(f" - Reaction change for '{topic}' on msg {message_id}: {change:+.3f} ({pos_reactions} pos, {neg_reactions} neg) (Freak Teto)") # Updated log
|
|
processed_reaction_messages.add(message_id)
|
|
|
|
# 3. Analyze recently learned facts
|
|
try:
|
|
# Ensure MemoryManager uses FreakTeto DB paths
|
|
recent_facts = await cog.memory_manager.get_general_facts(limit=10)
|
|
print(f"Analyzing {len(recent_facts)} recent general facts for interest boosts (Freak Teto)...") # Updated log
|
|
for fact in recent_facts:
|
|
fact_lower = fact.lower()
|
|
# Update keyword checks for Teto's interests
|
|
if "game" in fact_lower or "gaming" in fact_lower: interest_changes["gaming"] += INTEREST_FACT_BOOST; print(f" - Fact boost for 'gaming'")
|
|
if "anime" in fact_lower or "manga" in fact_lower: interest_changes["anime/manga"] += INTEREST_FACT_BOOST; print(f" - Fact boost for 'anime/manga'")
|
|
if "teto" in fact_lower: interest_changes["kasane teto"] += INTEREST_FACT_BOOST * 2; print(f" - Fact boost for 'kasane teto'")
|
|
if "vocaloid" in fact_lower or "utau" in fact_lower: interest_changes["vocaloid/utau"] += INTEREST_FACT_BOOST * 1.5; print(f" - Fact boost for 'vocaloid/utau'")
|
|
if "music" in fact_lower: interest_changes["music"] += INTEREST_FACT_BOOST; print(f" - Fact boost for 'music'")
|
|
if "bread" in fact_lower: interest_changes["french bread"] += INTEREST_FACT_BOOST; print(f" - Fact boost for 'french bread'")
|
|
# Add checks for other interests if needed
|
|
except Exception as fact_e: print(f" - Error analyzing recent facts (Freak Teto): {fact_e}") # Updated log
|
|
|
|
# --- Apply Changes ---
|
|
print(f"Applying interest changes (Freak Teto): {dict(interest_changes)}") # Updated log
|
|
if interest_changes:
|
|
# Ensure MemoryManager uses FreakTeto DB paths
|
|
for topic, change in interest_changes.items():
|
|
if change != 0: await cog.memory_manager.update_interest(topic, change)
|
|
else: print("No interest changes to apply (Freak Teto).") # Updated log
|
|
|
|
# Clear temporary tracking data
|
|
# Use renamed state variable
|
|
cog.freak_teto_participation_topics.clear()
|
|
now = time.time()
|
|
# Use renamed state variable
|
|
reactions_to_keep = {
|
|
msg_id: data for msg_id, data in cog.freak_teto_message_reactions.items()
|
|
if data.get("timestamp", 0) > (now - INTEREST_UPDATE_INTERVAL * 1.1)
|
|
}
|
|
# Use renamed state variable
|
|
cog.freak_teto_message_reactions = defaultdict(lambda: {"positive": 0, "negative": 0, "topic": None}, reactions_to_keep)
|
|
|
|
print("Interest update cycle finished (Freak Teto).") # Updated log
|
|
|
|
except Exception as e:
|
|
print(f"Error during interest update (Freak Teto): {e}") # Updated log
|
|
traceback.print_exc()
|