import logging
import time
import threading

"""
modules/autonomy_executor.py — F.R.I.D.A.Y OMEGA Background Task Executor
Manages autonomous, long-running multi-step goals without blocking the main event loop.
"""

_running_goals = {}

def start_goal(goal_id: str, description: str, steps: list):
    """
    Start tracking a new long-term goal.
    """
    _running_goals[goal_id] = {
        'description': description,
        'steps': steps,
        'status': 'started',
        'start_time': time.time(),
        'completed_steps': []
    }
    logging.getLogger(__name__).info(f"[AUTONOMY] Started goal {goal_id}: {description}")
    
    # In a real implementation, this would spin up a background thread or async task
    # to execute the steps sequentially. For now, we mock the execution.
    def _execute():
        for i, step in enumerate(steps):
            time.sleep(2) # Simulate work
            _running_goals[goal_id]['completed_steps'].append(step)
            logging.getLogger(__name__).info(f"[AUTONOMY] Completed step {i+1} for goal {goal_id}")
        _running_goals[goal_id]['status'] = 'completed'
        logging.getLogger(__name__).info(f"[AUTONOMY] Goal {goal_id} completed.")
        
    t = threading.Thread(target=_execute, daemon=True)
    t.start()

def get_goal_status(goal_id: str) -> dict:
    """Return current status of a tracked goal."""
    return _running_goals.get(goal_id, {})

def get_all_goals() -> dict:
    """Return all tracked goals."""
    return _running_goals