285 lines
10 KiB
Python
285 lines
10 KiB
Python
"""
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Bot manager for the AI service.
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This module provides functionality to manage the OpenWebUI bot.
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"""
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import os
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import sys
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import asyncio
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import logging
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import traceback
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from typing import Optional
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# Set up logging
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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)
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logger = logging.getLogger(__name__)
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# Add the openwebui-bot directory to the Python path
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# Use a path relative to the current file's directory to ensure it works in any environment
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current_dir = os.path.dirname(os.path.abspath(__file__))
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root_dir = os.path.dirname(current_dir)
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openwebui_bot_dir = os.path.join(root_dir, 'openwebui-bot')
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sys.path.insert(0, openwebui_bot_dir)
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# Log the path for debugging
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logger.info(f"Adding OpenWebUI bot directory to Python path: {openwebui_bot_dir}")
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# Import the bot modules
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custom_bot_main = None
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# Check if the openwebui-bot directory exists
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if not os.path.exists(openwebui_bot_dir):
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logger.error(f"OpenWebUI bot directory not found: {openwebui_bot_dir}")
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else:
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logger.info(f"OpenWebUI bot directory found: {openwebui_bot_dir}")
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# Add examples directory to path
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examples_dir = os.path.join(openwebui_bot_dir, 'examples')
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if os.path.exists(examples_dir):
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sys.path.insert(0, examples_dir)
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logger.info(f"Added examples directory to path: {examples_dir}")
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# Check for required files
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env_path = os.path.join(openwebui_bot_dir, 'env.py')
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custom_ai_path = os.path.join(openwebui_bot_dir, 'examples', 'custom_ai.py')
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if not os.path.exists(env_path):
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logger.error(f"env.py not found at {env_path}")
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else:
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logger.info(f"env.py found at {env_path}")
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if not os.path.exists(custom_ai_path):
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logger.error(f"custom_ai.py not found at {custom_ai_path}")
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else:
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logger.info(f"custom_ai.py found at {custom_ai_path}")
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# Try to import the modules
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try:
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# Use a different approach to import the modules
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sys.path.insert(0, openwebui_bot_dir)
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# Import the custom_ai module
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try:
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from examples.custom_ai import main as custom_bot_main
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logger.info("Successfully imported custom_ai module")
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except ImportError as e:
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logger.error(f"Error importing custom_ai module: {str(e)}")
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# Try a different approach
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try:
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import importlib.util
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spec = importlib.util.spec_from_file_location("custom_ai", custom_ai_path)
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custom_ai = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(custom_ai)
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custom_bot_main = custom_ai.main
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logger.info("Successfully imported custom_ai module using importlib")
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except Exception as e:
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logger.error(f"Error importing custom_ai module using importlib: {str(e)}")
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except Exception as e:
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logger.error(f"Error importing OpenWebUI bot modules: {str(e)}")
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logger.error(f"Traceback: {traceback.format_exc()}")
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# Log the current state
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if custom_bot_main is None:
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logger.error("Failed to import custom_bot_main function")
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else:
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logger.info("Successfully imported custom_bot_main function")
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# Global variable to store the bot task
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bot_task = None
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async def start_bot(
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openwebui_url: str,
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api_key: str,
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model_id: str,
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system_prompt: str = None,
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temperature: float = None,
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max_tokens: int = None,
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top_p: float = None,
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triggers: list = None,
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respond_to_all: bool = None
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) -> bool:
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"""
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Start the OpenWebUI bot.
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This function creates a .env file for the bot and starts it in a background task.
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The bot connects to OpenWebUI via WebSocket and listens for messages in channels.
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When a message mentions the bot (using trigger words like @ai), the bot processes
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the message and sends a response back to the channel.
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Args:
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openwebui_url: URL of the OpenWebUI instance.
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api_key: API key for authentication.
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model_id: ID of the model to use.
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system_prompt: System prompt for the bot.
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temperature: Temperature for response generation.
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max_tokens: Maximum number of tokens to generate.
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top_p: Top-p sampling parameter.
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triggers: List of trigger words that will make the bot respond.
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respond_to_all: Whether to respond to all messages or only to mentions.
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Returns:
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True if the bot was started successfully, False otherwise.
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"""
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global bot_task
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# Check if the bot is already running
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if bot_task is not None and not bot_task.done():
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logger.warning("Bot is already running!")
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return True
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# Check if the bot modules were imported successfully
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if custom_bot_main is None:
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logger.error("OpenWebUI bot modules not found. Bot cannot be started.")
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return False
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# Create .env file for the bot
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try:
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env_file_path = os.path.join(openwebui_bot_dir, '.env')
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with open(env_file_path, 'w') as f:
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f.write(f"# OpenWebUI configuration\n")
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f.write(f"WEBUI_URL={openwebui_url}\n")
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f.write(f"TOKEN={api_key}\n\n")
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f.write(f"# Model configuration\n")
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f.write(f"MODEL_ID={model_id}\n\n")
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f.write(f"# Bot behavior configuration\n")
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f.write(f'SYSTEM_PROMPT="{system_prompt or "You are a helpful AI assistant."}"\n')
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f.write(f"TEMPERATURE={temperature or 0.7}\n")
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f.write(f"MAX_TOKENS={max_tokens or 2048}\n")
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f.write(f"TOP_P={top_p or 0.9}\n")
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f.write(f"TRIGGERS={','.join(triggers) if triggers else '@ai,@bot,@assistant,@chatbot'}\n")
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f.write(f"RESPOND_TO_ALL={'true' if respond_to_all else 'false'}\n")
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logger.info(f"Created .env file at {env_file_path}")
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except Exception as e:
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logger.error(f"Error creating .env file: {str(e)}")
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# Continue anyway, as we'll set environment variables too
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# Set environment variables for the bot
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os.environ["WEBUI_URL"] = openwebui_url
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os.environ["TOKEN"] = api_key
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os.environ["MODEL_ID"] = model_id
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# Set optional parameters if provided
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if system_prompt:
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os.environ["SYSTEM_PROMPT"] = system_prompt
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if temperature is not None:
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os.environ["TEMPERATURE"] = str(temperature)
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if max_tokens is not None:
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os.environ["MAX_TOKENS"] = str(max_tokens)
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if top_p is not None:
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os.environ["TOP_P"] = str(top_p)
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if triggers:
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os.environ["TRIGGERS"] = ",".join(triggers)
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if respond_to_all is not None:
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os.environ["RESPOND_TO_ALL"] = str(respond_to_all).lower()
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try:
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# Start the bot in a background task
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logger.info("Starting OpenWebUI bot...")
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logger.info(f"OpenWebUI URL: {openwebui_url}")
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logger.info(f"API Key: {api_key[:4]}...{api_key[-4:] if len(api_key) > 8 else ''}")
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logger.info(f"Model: {model_id}")
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if system_prompt:
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logger.info(f"System prompt: {system_prompt[:50]}...")
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if temperature is not None:
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logger.info(f"Temperature: {temperature}")
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if max_tokens is not None:
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logger.info(f"Max tokens: {max_tokens}")
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if top_p is not None:
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logger.info(f"Top-p: {top_p}")
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if triggers:
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logger.info(f"Triggers: {triggers}")
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if respond_to_all is not None:
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logger.info(f"Respond to all: {respond_to_all}")
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# Create a task for the bot
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try:
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# Try to reload the env module to pick up new environment variables
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try:
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import importlib
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if 'env' in sys.modules:
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importlib.reload(sys.modules['env'])
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logger.info("Reloaded env module")
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except Exception as e:
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logger.warning(f"Failed to reload env module: {str(e)}")
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# Start the bot with a retry mechanism
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max_retries = 3
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retry_delay = 5 # seconds
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last_error = None
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for attempt in range(1, max_retries + 1):
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try:
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logger.info(f"Starting bot (attempt {attempt}/{max_retries})...")
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bot_task = asyncio.create_task(custom_bot_main())
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logger.info("Bot started successfully!")
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return True
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except Exception as e:
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last_error = e
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logger.error(f"Error starting bot (attempt {attempt}/{max_retries}): {str(e)}")
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if attempt < max_retries:
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logger.info(f"Retrying in {retry_delay} seconds...")
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await asyncio.sleep(retry_delay)
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else:
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logger.error("Maximum retry attempts reached")
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# If we get here, all attempts failed
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logger.error(f"Failed to start bot after {max_retries} attempts")
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logger.error(f"Last error: {str(last_error)}")
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logger.error(f"Traceback: {traceback.format_exc()}")
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return False
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except Exception as e:
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logger.error(f"Error creating bot task: {str(e)}")
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logger.error(f"Traceback: {traceback.format_exc()}")
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return False
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except Exception as e:
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logger.error(f"Error starting bot: {str(e)}")
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logger.error(f"Traceback: {traceback.format_exc()}")
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return False
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async def stop_bot() -> bool:
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"""
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Stop the OpenWebUI bot.
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Returns:
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True if the bot was stopped successfully, False otherwise.
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"""
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global bot_task
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# Check if the bot is running
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if bot_task is None or bot_task.done():
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logger.warning("Bot is not running!")
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return True
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try:
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# Cancel the bot task
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logger.info("Stopping OpenWebUI bot...")
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bot_task.cancel()
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try:
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# Wait for the task to be cancelled
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await bot_task
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except asyncio.CancelledError:
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pass
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logger.info("Bot stopped successfully!")
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return True
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except Exception as e:
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logger.error(f"Error stopping bot: {str(e)}")
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return False
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def is_bot_running() -> bool:
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"""
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Check if the bot is running.
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Returns:
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True if the bot is running, False otherwise.
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"""
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global bot_task
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return bot_task is not None and not bot_task.done()
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