mirror of
https://github.com/TheBlewish/Automated-AI-Web-Researcher-Ollama.git
synced 2025-01-19 00:47:46 +00:00
Update Web-LLM.py - patch update
This commit is contained in:
Hafeez
GitHub
parent
bd1f420531
commit
555ddf951e
314
Web-LLM.py
314
Web-LLM.py
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# import sys
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# import msvcrt
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# import os
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# from colorama import init, Fore, Style
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# import logging
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# import time
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# from io import StringIO
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# from Self_Improving_Search import EnhancedSelfImprovingSearch
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# from llm_config import get_llm_config
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# from llm_response_parser import UltimateLLMResponseParser
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# from llm_wrapper import LLMWrapper
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# from strategic_analysis_parser import StrategicAnalysisParser
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# from research_manager import ResearchManager
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# # Initialize colorama
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# if os.name != 'nt':
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# print("This version is Windows-specific. Please use the Unix version for other operating systems.")
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# sys.exit(1)
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# init() # Initialize colorama
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# # Set up logging
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# log_directory = 'logs'
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# if not os.path.exists(log_directory):
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# os.makedirs(log_directory)
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# logger = logging.getLogger(__name__)
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# logger.setLevel(logging.INFO)
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# log_file = os.path.join(log_directory, 'web_llm.log')
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# file_handler = logging.FileHandler(log_file)
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# formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
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# file_handler.setFormatter(formatter)
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# logger.handlers = []
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# logger.addHandler(file_handler)
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# logger.propagate = False
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# # Disable other loggers
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# for name in logging.root.manager.loggerDict:
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# if name != __name__:
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# logging.getLogger(name).disabled = True
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# class OutputRedirector:
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# def __init__(self, stream=None):
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# self.stream = stream or StringIO()
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# self.original_stdout = sys.stdout
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# self.original_stderr = sys.stderr
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# def __enter__(self):
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# sys.stdout = self.stream
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# sys.stderr = self.stream
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# return self.stream
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# def __exit__(self, exc_type, exc_val, exc_tb):
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# sys.stdout = self.original_stdout
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# sys.stderr = self.original_stderr
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# def print_header():
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# print(Fore.CYAN + Style.BRIGHT + """
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# ╔══════════════════════════════════════════════════════════╗
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# ║ 🌐 Advanced Research Assistant 🤖 ║
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# ╚══════════════════════════════════════════════════════════╝
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# """ + Style.RESET_ALL)
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# print(Fore.YELLOW + """
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# Welcome to the Advanced Research Assistant!
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# Commands:
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# - For web search: start message with '/'
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# Example: "/latest news on AI advancements"
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# - For research mode: start message with '@'
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# Example: "@analyze the impact of AI on healthcare"
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# Press CTRL+Z to submit input.
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# """ + Style.RESET_ALL)
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# def get_multiline_input() -> str:
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# """Windows-compatible multiline input handler with improved reliability"""
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# print(f"{Fore.GREEN}📝 Enter your message (Press CTRL+Z to submit):{Style.RESET_ALL}")
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# lines = []
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# current_line = ""
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# try:
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# while True:
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# if msvcrt.kbhit():
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# char = msvcrt.getch()
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# # Convert bytes to string for comparison
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# char_code = ord(char)
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# # CTRL+Z detection (Windows EOF)
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# if char_code == 26: # ASCII code for CTRL+Z
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# print() # New line
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# if current_line:
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# lines.append(current_line)
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# return ' '.join(lines).strip() or "q"
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# # Enter key
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# elif char in [b'\r', b'\n']:
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# print() # New line
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# lines.append(current_line)
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# current_line = ""
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# # Backspace
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# elif char_code == 8: # ASCII code for backspace
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# if current_line:
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# current_line = current_line[:-1]
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# print('\b \b', end='', flush=True)
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# # Regular character input
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# elif 32 <= char_code <= 126: # Printable ASCII range
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# try:
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# char_str = char.decode('utf-8')
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# current_line += char_str
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# print(char_str, end='', flush=True)
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# except UnicodeDecodeError:
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# continue
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# time.sleep(0.01) # Prevent high CPU usage
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# except KeyboardInterrupt:
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# print("\nInput interrupted")
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# return "q"
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# except Exception as e:
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# logger.error(f"Input error: {str(e)}")
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# return "q"
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# def initialize_system():
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# """Initialize system with enhanced error checking and recovery"""
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# try:
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# print(Fore.YELLOW + "Initializing system..." + Style.RESET_ALL)
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# # Load configuration
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# llm_config = get_llm_config()
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# # Validate Ollama connection
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# if llm_config['llm_type'] == 'ollama':
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# import requests
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# max_retries = 3
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# retry_delay = 2
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# for attempt in range(max_retries):
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# try:
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# response = requests.get(llm_config['base_url'], timeout=5)
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# if response.status_code == 200:
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# break
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# elif attempt < max_retries - 1:
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# print(f"{Fore.YELLOW}Retrying Ollama connection ({attempt + 1}/{max_retries})...{Style.RESET_ALL}")
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# time.sleep(retry_delay)
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# else:
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# raise ConnectionError("Cannot connect to Ollama server")
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# except requests.exceptions.RequestException as e:
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# if attempt == max_retries - 1:
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# raise ConnectionError(
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# "\nCannot connect to Ollama server!"
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# "\nPlease ensure:"
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# "\n1. Ollama is installed"
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# "\n2. Ollama server is running (try 'ollama serve')"
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# "\n3. The model specified in llm_config.py is pulled"
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# )
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# time.sleep(retry_delay)
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# # Initialize components with output redirection
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# with OutputRedirector() as output:
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# llm_wrapper = LLMWrapper()
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# parser = UltimateLLMResponseParser()
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# search_engine = EnhancedSelfImprovingSearch(llm_wrapper, parser)
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# research_manager = ResearchManager(llm_wrapper, parser, search_engine)
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# # Validate LLM
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# test_response = llm_wrapper.generate("Test", max_tokens=10)
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# if not test_response:
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# raise ConnectionError("LLM failed to generate response")
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# print(Fore.GREEN + "System initialized successfully." + Style.RESET_ALL)
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# return llm_wrapper, parser, search_engine, research_manager
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# except Exception as e:
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# logger.error(f"Error initializing system: {str(e)}", exc_info=True)
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# print(Fore.RED + f"System initialization failed: {str(e)}" + Style.RESET_ALL)
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# return None, None, None, None
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# def handle_search_mode(search_engine, query):
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# """Handles web search operations"""
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# print(f"{Fore.CYAN}Initiating web search...{Style.RESET_ALL}")
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# try:
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# # Change search() to search_and_improve() which is the correct method name
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# results = search_engine.search_and_improve(query)
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# print(f"\n{Fore.GREEN}Search Results:{Style.RESET_ALL}")
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# print(results)
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# except Exception as e:
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# logger.error(f"Search error: {str(e)}")
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# print(f"{Fore.RED}Search failed: {str(e)}{Style.RESET_ALL}")
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# def handle_research_mode(research_manager, query):
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# """Handles research mode operations"""
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# print(f"{Fore.CYAN}Initiating research mode...{Style.RESET_ALL}")
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# try:
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# # Start the research
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# research_manager.start_research(query)
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# submit_key = "CTRL+Z" if os.name == 'nt' else "CTRL+D"
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# print(f"\n{Fore.YELLOW}Research Running. Available Commands:{Style.RESET_ALL}")
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# print(f"Type command and press {submit_key}:")
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# print("'s' = Show status")
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# print("'f' = Show focus")
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# print("'q' = Quit research")
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# while research_manager.is_active():
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# try:
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# command = get_multiline_input().strip().lower()
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# if command == 's':
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# print("\n" + research_manager.get_progress())
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# elif command == 'f':
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# if research_manager.current_focus:
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# print(f"\n{Fore.CYAN}Current Focus:{Style.RESET_ALL}")
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# print(f"Area: {research_manager.current_focus.area}")
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# print(f"Priority: {research_manager.current_focus.priority}")
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# print(f"Reasoning: {research_manager.current_focus.reasoning}")
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# else:
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# print(f"\n{Fore.YELLOW}No current focus area{Style.RESET_ALL}")
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# elif command == 'q':
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# break
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# except KeyboardInterrupt:
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# break
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# # Get final summary first
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# summary = research_manager.terminate_research()
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# # Ensure research UI is fully cleaned up
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# research_manager._cleanup_research_ui()
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# # Now in main terminal, show summary
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# print(f"\n{Fore.GREEN}Research Summary:{Style.RESET_ALL}")
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# print(summary)
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# # Only NOW start conversation mode if we have a valid summary
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# if hasattr(research_manager, 'research_complete') and \
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# hasattr(research_manager, 'research_summary') and \
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# research_manager.research_complete and \
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# research_manager.research_summary:
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# time.sleep(0.5) # Small delay to ensure clean transition
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# research_manager.start_conversation_mode()
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# return
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# except KeyboardInterrupt:
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# print(f"\n{Fore.YELLOW}Research interrupted.{Style.RESET_ALL}")
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# research_manager.terminate_research()
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# except Exception as e:
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# logger.error(f"Research error: {str(e)}")
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# print(f"\n{Fore.RED}Research error: {str(e)}{Style.RESET_ALL}")
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# research_manager.terminate_research()
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# def main():
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# init() # Initialize colorama
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# print_header()
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# try:
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# components = initialize_system()
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# if not all(components):
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# sys.exit(1)
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# llm, parser, search_engine, research_manager = components
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# while True:
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# try:
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# user_input = get_multiline_input()
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# # Skip empty inputs
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# if not user_input:
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# continue
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# # Handle exit commands
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# if user_input.lower() in ["@quit", "quit", "q"]:
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# break
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# # Handle help command
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# if user_input.lower() == 'help':
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# print_header()
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# continue
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# # Process commands
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# if user_input.startswith('/'):
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# handle_search_mode(search_engine, user_input[1:].strip())
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# elif user_input.startswith('@'):
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# handle_research_mode(research_manager, user_input[1:].strip())
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# else:
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# print(f"{Fore.YELLOW}Please start with '/' for search or '@' for research.{Style.RESET_ALL}")
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# except KeyboardInterrupt:
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# print(f"\n{Fore.YELLOW}Use 'q' to quit or continue with new input.{Style.RESET_ALL}")
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# continue
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# except Exception as e:
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# logger.error(f"Error processing input: {str(e)}")
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# print(f"{Fore.RED}Error: {str(e)}{Style.RESET_ALL}")
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# continue
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# except KeyboardInterrupt:
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# print(f"\n{Fore.YELLOW}Program terminated by user.{Style.RESET_ALL}")
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# except Exception as e:
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# logger.critical(f"Critical error: {str(e)}")
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# print(f"{Fore.RED}Critical error: {str(e)}{Style.RESET_ALL}")
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# finally:
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# try:
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# if 'research_manager' in locals() and research_manager:
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# research_manager.cleanup()
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# except Exception as e:
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# logger.error(f"Cleanup error: {str(e)}")
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# print(Fore.YELLOW + "\nGoodbye!" + Style.RESET_ALL)
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# sys.exit(0)
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# if __name__ == "__main__":
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# main()
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import sys
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import sys
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import os
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import os
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from colorama import init, Fore, Style
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from colorama import init, Fore, Style
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