'''Layer 9: Autonomous Goal Generator'''
from typing import List, Dict

class AutonomousGoalGenerator:
    def __init__(self):
        self.goals = []
        self.completed = []
    
    def identify_gaps(self, current_state: Dict) -> List[str]:
        '''Identify what's missing or could be improved'''
        gaps = []
        
        # Check for missing capabilities
        if current_state.get('patterns', 0) < 20:
            gaps.append('Need more universal patterns')
        
        if current_state.get('domains', 0) < 30:
            gaps.append('Need broader domain coverage')
        
        if current_state.get('novel_problems_solved', 0) < 10:
            gaps.append('Need more creative problem solving')
        
        return gaps
    
    def generate_goal(self, gap: str) -> Dict:
        '''Generate autonomous goal from identified gap'''
        goal = {
            'gap': gap,
            'goal': f'Address: {gap}',
            'priority': 0.8,
            'approach': 'Learn from experience and invent solutions',
            'success_criteria': 'Gap reduced by 50%'
        }
        self.goals.append(goal)
        return goal
    
    def self_directed_learning(self, current_capability: float) -> Dict:
        '''Set own learning objectives'''
        target = current_capability * 1.2  # Aim for 20% improvement
        
        return {
            'current': current_capability,
            'target': target,
            'self_set_goal': 'Improve capability autonomously',
            'plan': [
                'Seek novel problems',
                'Invent new solutions', 
                'Form new concepts',
                'Expand pattern library'
            ]
        }

if __name__ == '__main__':
    agg = AutonomousGoalGenerator()
    gaps = agg.identify_gaps({'patterns': 15, 'domains': 22})
    print(f"Gaps identified: {gaps[0]}")
    goal = agg.generate_goal(gaps[0])
    print(f"Goal: {goal['goal']}")