mirror of
https://github.com/TheBlewish/Automated-AI-Web-Researcher-Ollama.git
synced 2025-01-18 16:37:47 +00:00
303 lines
11 KiB
Python
303 lines
11 KiB
Python
import sys
|
|
import os
|
|
from colorama import init, Fore, Style
|
|
import logging
|
|
import time
|
|
from io import StringIO
|
|
from Self_Improving_Search import EnhancedSelfImprovingSearch
|
|
from llm_config import get_llm_config
|
|
from llm_response_parser import UltimateLLMResponseParser
|
|
from llm_wrapper import LLMWrapper
|
|
from strategic_analysis_parser import StrategicAnalysisParser
|
|
from research_manager import ResearchManager
|
|
|
|
# Initialize colorama
|
|
if os.name == 'nt': # Windows-specific initialization
|
|
init(convert=True, strip=False, wrap=True)
|
|
else:
|
|
init()
|
|
|
|
# Set up logging
|
|
log_directory = 'logs'
|
|
if not os.path.exists(log_directory):
|
|
os.makedirs(log_directory)
|
|
|
|
logger = logging.getLogger(__name__)
|
|
logger.setLevel(logging.INFO)
|
|
log_file = os.path.join(log_directory, 'web_llm.log')
|
|
file_handler = logging.FileHandler(log_file)
|
|
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
|
|
file_handler.setFormatter(formatter)
|
|
logger.handlers = []
|
|
logger.addHandler(file_handler)
|
|
logger.propagate = False
|
|
|
|
# Disable other loggers
|
|
for name in logging.root.manager.loggerDict:
|
|
if name != __name__:
|
|
logging.getLogger(name).disabled = True
|
|
|
|
class OutputRedirector:
|
|
def __init__(self, stream=None):
|
|
self.stream = stream or StringIO()
|
|
self.original_stdout = sys.stdout
|
|
self.original_stderr = sys.stderr
|
|
|
|
def __enter__(self):
|
|
sys.stdout = self.stream
|
|
sys.stderr = self.stream
|
|
return self.stream
|
|
|
|
def __exit__(self, exc_type, exc_val, exc_tb):
|
|
sys.stdout = self.original_stdout
|
|
sys.stderr = self.original_stderr
|
|
|
|
def print_header():
|
|
print(Fore.CYAN + Style.BRIGHT + """
|
|
╔══════════════════════════════════════════════════════════╗
|
|
║ 🌐 Advanced Research Assistant 🤖 ║
|
|
╚══════════════════════════════════════════════════════════╝
|
|
""" + Style.RESET_ALL)
|
|
print(Fore.YELLOW + """
|
|
Welcome to the Advanced Research Assistant!
|
|
|
|
Usage:
|
|
- Start your research query with '@'
|
|
Example: "@analyze the impact of AI on healthcare"
|
|
|
|
Press CTRL+D (Linux/Mac) or CTRL+Z (Windows) to submit input.
|
|
""" + Style.RESET_ALL)
|
|
|
|
def get_multiline_input() -> str:
|
|
"""Get multiline input using raw terminal mode for reliable CTRL+D handling"""
|
|
print(f"{Fore.GREEN}📝 Enter your message (Press CTRL+D to submit):{Style.RESET_ALL}")
|
|
lines = []
|
|
|
|
import termios
|
|
import tty
|
|
import sys
|
|
|
|
# Save original terminal settings
|
|
fd = sys.stdin.fileno()
|
|
old_settings = termios.tcgetattr(fd)
|
|
|
|
try:
|
|
# Set terminal to raw mode
|
|
tty.setraw(fd)
|
|
|
|
current_line = []
|
|
while True:
|
|
# Read one character at a time
|
|
char = sys.stdin.read(1)
|
|
|
|
# CTRL+D detection
|
|
if not char or ord(char) == 4: # EOF or CTRL+D
|
|
sys.stdout.write('\n') # New line for clean display
|
|
if current_line:
|
|
lines.append(''.join(current_line))
|
|
return ' '.join(lines).strip()
|
|
|
|
# Handle special characters
|
|
elif ord(char) == 13: # Enter
|
|
sys.stdout.write('\n')
|
|
lines.append(''.join(current_line))
|
|
current_line = []
|
|
|
|
elif ord(char) == 127: # Backspace
|
|
if current_line:
|
|
current_line.pop()
|
|
sys.stdout.write('\b \b') # Erase character
|
|
|
|
elif ord(char) == 3: # CTRL+C
|
|
sys.stdout.write('\n')
|
|
return 'q'
|
|
|
|
# Normal character
|
|
elif 32 <= ord(char) <= 126: # Printable characters
|
|
current_line.append(char)
|
|
sys.stdout.write(char)
|
|
|
|
# Flush output
|
|
sys.stdout.flush()
|
|
|
|
finally:
|
|
# Restore terminal settings
|
|
termios.tcsetattr(fd, termios.TCSADRAIN, old_settings)
|
|
print() # New line for clean display
|
|
|
|
def initialize_system():
|
|
"""Initialize system with proper error checking"""
|
|
try:
|
|
print(Fore.YELLOW + "Initializing system..." + Style.RESET_ALL)
|
|
|
|
llm_config = get_llm_config()
|
|
if llm_config['llm_type'] == 'ollama':
|
|
import requests
|
|
try:
|
|
response = requests.get(llm_config['base_url'], timeout=5)
|
|
if response.status_code != 200:
|
|
raise ConnectionError("Cannot connect to Ollama server")
|
|
except requests.exceptions.RequestException:
|
|
raise ConnectionError(
|
|
"\nCannot connect to Ollama server!"
|
|
"\nPlease ensure:"
|
|
"\n1. Ollama is installed"
|
|
"\n2. Ollama server is running (try 'ollama serve')"
|
|
"\n3. The model specified in llm_config.py is pulled"
|
|
)
|
|
elif llm_config['llm_type'] == 'llama_cpp':
|
|
model_path = llm_config.get('model_path')
|
|
if not model_path or not os.path.exists(model_path):
|
|
raise FileNotFoundError(
|
|
f"\nLLama.cpp model not found at: {model_path}"
|
|
"\nPlease ensure model path in llm_config.py is correct"
|
|
)
|
|
|
|
with OutputRedirector() as output:
|
|
llm_wrapper = LLMWrapper()
|
|
try:
|
|
test_response = llm_wrapper.generate("Test", max_tokens=10)
|
|
if not test_response:
|
|
raise ConnectionError("LLM failed to generate response")
|
|
except Exception as e:
|
|
raise ConnectionError(f"LLM test failed: {str(e)}")
|
|
|
|
parser = UltimateLLMResponseParser()
|
|
search_engine = EnhancedSelfImprovingSearch(llm_wrapper, parser)
|
|
research_manager = ResearchManager(llm_wrapper, parser, search_engine)
|
|
|
|
print(Fore.GREEN + "System initialized successfully." + Style.RESET_ALL)
|
|
return llm_wrapper, parser, search_engine, research_manager
|
|
except Exception as e:
|
|
logger.error(f"Error initializing system: {str(e)}", exc_info=True)
|
|
print(Fore.RED + f"System initialization failed: {str(e)}" + Style.RESET_ALL)
|
|
return None, None, None, None
|
|
|
|
def handle_research_mode(research_manager, query):
|
|
"""Handles research mode operations"""
|
|
print(f"{Fore.CYAN}Initiating research mode...{Style.RESET_ALL}")
|
|
|
|
try:
|
|
# Start the research
|
|
research_manager.start_research(query)
|
|
|
|
submit_key = "CTRL+Z" if os.name == 'nt' else "CTRL+D"
|
|
print(f"\n{Fore.YELLOW}Research Running. Available Commands:{Style.RESET_ALL}")
|
|
print(f"Type command and press {submit_key}:")
|
|
print("'s' = Show status")
|
|
print("'f' = Show focus")
|
|
print("'q' = Quit research")
|
|
|
|
while research_manager.is_active():
|
|
try:
|
|
command = get_multiline_input().strip().lower()
|
|
if command == 's':
|
|
print("\n" + research_manager.get_progress())
|
|
elif command == 'f':
|
|
if research_manager.current_focus:
|
|
print(f"\n{Fore.CYAN}Current Focus:{Style.RESET_ALL}")
|
|
print(f"Area: {research_manager.current_focus.area}")
|
|
print(f"Priority: {research_manager.current_focus.priority}")
|
|
print(f"Reasoning: {research_manager.current_focus.reasoning}")
|
|
else:
|
|
print(f"\n{Fore.YELLOW}No current focus area{Style.RESET_ALL}")
|
|
elif command == 'q':
|
|
break
|
|
except KeyboardInterrupt:
|
|
break
|
|
|
|
# Get final summary first
|
|
summary = research_manager.terminate_research()
|
|
|
|
# Ensure research UI is fully cleaned up
|
|
research_manager._cleanup_research_ui()
|
|
|
|
# Now in main terminal, show summary
|
|
print(f"\n{Fore.GREEN}Research Summary:{Style.RESET_ALL}")
|
|
print(summary)
|
|
|
|
# Only NOW start conversation mode if we have a valid summary
|
|
if research_manager.research_complete and research_manager.research_summary:
|
|
time.sleep(0.5) # Small delay to ensure clean transition
|
|
research_manager.start_conversation_mode()
|
|
|
|
return
|
|
|
|
except KeyboardInterrupt:
|
|
print(f"\n{Fore.YELLOW}Research interrupted.{Style.RESET_ALL}")
|
|
research_manager.terminate_research()
|
|
except Exception as e:
|
|
print(f"\n{Fore.RED}Research error: {str(e)}{Style.RESET_ALL}")
|
|
research_manager.terminate_research()
|
|
|
|
def main():
|
|
print_header()
|
|
try:
|
|
llm, parser, search_engine, research_manager = initialize_system()
|
|
if not all([llm, parser, search_engine, research_manager]):
|
|
return
|
|
|
|
while True:
|
|
try:
|
|
# Get input with improved CTRL+D handling
|
|
user_input = get_multiline_input()
|
|
|
|
# Handle immediate CTRL+D (empty input)
|
|
if user_input == "":
|
|
user_input = "@quit" # Convert empty CTRL+D to quit command
|
|
|
|
user_input = user_input.strip()
|
|
|
|
# Check for special quit markers
|
|
if user_input in ["@quit", "quit", "q"]:
|
|
print(Fore.YELLOW + "\nGoodbye!" + Style.RESET_ALL)
|
|
break
|
|
|
|
if not user_input:
|
|
continue
|
|
|
|
if user_input.lower() == 'help':
|
|
print_header()
|
|
continue
|
|
|
|
if user_input.startswith('/'):
|
|
search_query = user_input[1:].strip()
|
|
handle_search_mode(search_engine, search_query)
|
|
|
|
elif user_input.startswith('@'):
|
|
research_query = user_input[1:].strip()
|
|
handle_research_mode(research_manager, research_query)
|
|
|
|
else:
|
|
print(f"{Fore.RED}Please start with '@' for research.{Style.RESET_ALL}")
|
|
|
|
except KeyboardInterrupt:
|
|
print(f"\n{Fore.YELLOW}Exiting program...{Style.RESET_ALL}")
|
|
break
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error in main loop: {str(e)}")
|
|
print(f"{Fore.RED}An error occurred: {str(e)}{Style.RESET_ALL}")
|
|
continue
|
|
|
|
except KeyboardInterrupt:
|
|
print(f"\n{Fore.YELLOW}Program terminated by user.{Style.RESET_ALL}")
|
|
|
|
except Exception as e:
|
|
logger.critical(f"Critical error: {str(e)}")
|
|
print(f"{Fore.RED}Critical error: {str(e)}{Style.RESET_ALL}")
|
|
|
|
finally:
|
|
# Ensure proper cleanup on exit
|
|
try:
|
|
if 'research_manager' in locals() and research_manager:
|
|
if hasattr(research_manager, 'ui'):
|
|
research_manager.ui.cleanup()
|
|
curses.endwin()
|
|
except:
|
|
pass
|
|
os._exit(0)
|
|
|
|
if __name__ == "__main__":
|
|
main()
|