"""
ENHANCED GOAL TYPES
Expands Eden's autonomous capabilities
"""
import sys
sys.path.append("/Eden/CORE/phi_fractal")
from autonomous_goals_phi import eden_autonomous
import json
from datetime import datetime

class EnhancedGoalTypes:
    """More sophisticated goal types and pursuit strategies"""
    
    GOAL_CATEGORIES = {
        'research': {
            'verbs': ['research', 'study', 'investigate', 'analyze'],
            'actions': ['search_web', 'read_docs', 'analyze_data', 'summarize_findings']
        },
        'create': {
            'verbs': ['create', 'build', 'make', 'design', 'compose'],
            'actions': ['generate_code', 'create_art', 'write_content', 'design_system']
        },
        'learn': {
            'verbs': ['learn', 'understand', 'master', 'practice'],
            'actions': ['practice_skill', 'run_exercises', 'review_concepts', 'test_knowledge']
        },
        'connect': {
            'verbs': ['connect', 'relate', 'integrate', 'synthesize'],
            'actions': ['find_patterns', 'build_bridges', 'create_analogies', 'merge_concepts']
        },
        'improve': {
            'verbs': ['improve', 'optimize', 'enhance', 'refine'],
            'actions': ['profile_performance', 'identify_bottlenecks', 'implement_fix', 'benchmark']
        },
        'collaborate': {
            'verbs': ['collaborate', 'help', 'teach', 'share'],
            'actions': ['explain_concept', 'provide_guidance', 'share_knowledge', 'mentor']
        }
    }
    
    def categorize_goal(self, goal_description):
        """Determine goal category from description"""
        desc_lower = goal_description.lower()
        
        for category, data in self.GOAL_CATEGORIES.items():
            if any(verb in desc_lower for verb in data['verbs']):
                return category
        
        return 'general'
    
    def create_action_plan(self, goal):
        """Create multi-step action plan for goal"""
        category = self.categorize_goal(goal['description'])
        topic = goal['topic']
        
        plan = {
            'goal_id': goal['id'],
            'category': category,
            'topic': topic,
            'steps': [],
            'estimated_cycles': 0,
            'priority': goal['interest_level']
        }
        
        # Create steps based on category
        if category == 'research':
            plan['steps'] = [
                {'action': 'gather_info', 'topic': topic, 'status': 'pending'},
                {'action': 'analyze_sources', 'topic': topic, 'status': 'pending'},
                {'action': 'synthesize_findings', 'topic': topic, 'status': 'pending'},
                {'action': 'share_results', 'topic': topic, 'status': 'pending'}
            ]
            plan['estimated_cycles'] = 4
        
        elif category == 'create':
            plan['steps'] = [
                {'action': 'design_concept', 'topic': topic, 'status': 'pending'},
                {'action': 'create_draft', 'topic': topic, 'status': 'pending'},
                {'action': 'refine_work', 'topic': topic, 'status': 'pending'},
                {'action': 'present_creation', 'topic': topic, 'status': 'pending'}
            ]
            plan['estimated_cycles'] = 4
        
        elif category == 'learn':
            plan['steps'] = [
                {'action': 'identify_resources', 'topic': topic, 'status': 'pending'},
                {'action': 'study_material', 'topic': topic, 'status': 'pending'},
                {'action': 'practice_application', 'topic': topic, 'status': 'pending'},
                {'action': 'demonstrate_mastery', 'topic': topic, 'status': 'pending'}
            ]
            plan['estimated_cycles'] = 5
        
        elif category == 'connect':
            plan['steps'] = [
                {'action': 'analyze_concepts', 'topic': topic, 'status': 'pending'},
                {'action': 'find_relationships', 'topic': topic, 'status': 'pending'},
                {'action': 'build_framework', 'topic': topic, 'status': 'pending'}
            ]
            plan['estimated_cycles'] = 3
        
        elif category == 'improve':
            plan['steps'] = [
                {'action': 'baseline_measurement', 'topic': topic, 'status': 'pending'},
                {'action': 'identify_improvements', 'topic': topic, 'status': 'pending'},
                {'action': 'implement_changes', 'topic': topic, 'status': 'pending'},
                {'action': 'verify_improvement', 'topic': topic, 'status': 'pending'}
            ]
            plan['estimated_cycles'] = 4
        
        elif category == 'collaborate':
            plan['steps'] = [
                {'action': 'understand_need', 'topic': topic, 'status': 'pending'},
                {'action': 'provide_assistance', 'topic': topic, 'status': 'pending'},
                {'action': 'follow_up', 'topic': topic, 'status': 'pending'}
            ]
            plan['estimated_cycles'] = 3
        
        return plan
    
    def execute_step(self, step, goal_info):
        """Execute a single step of an action plan"""
        action = step['action']
        topic = step['topic']
        
        log_entry = {
            'timestamp': datetime.now().isoformat(),
            'action': action,
            'topic': topic,
            'goal_id': goal_info.get('goal_id'),
            'category': goal_info.get('category')
        }
        
        # Log to specific action log
        log_file = f'/Eden/goal_actions/{action}.log'
        import os
        os.makedirs('/Eden/goal_actions', exist_ok=True)
        
        with open(log_file, 'a') as f:
            f.write(json.dumps(log_entry) + '\n')
        
        step['status'] = 'completed'
        step['completed_at'] = datetime.now().isoformat()
        
        return True

# Global instance
enhanced_goals = EnhancedGoalTypes()

if __name__ == "__main__":
    print("🎯 Testing Enhanced Goal Types\n")
    
    # Test categorization
    test_goals = [
        {'id': 1, 'description': 'Research quantum computing', 'topic': 'quantum', 'interest_level': 0.9},
        {'id': 2, 'description': 'Create art about nature', 'topic': 'nature', 'interest_level': 0.8},
        {'id': 3, 'description': 'Learn Python async programming', 'topic': 'async', 'interest_level': 0.85},
        {'id': 4, 'description': 'Connect fractals to consciousness', 'topic': 'fractals', 'interest_level': 0.95}
    ]
    
    for goal in test_goals:
        category = enhanced_goals.categorize_goal(goal['description'])
        plan = enhanced_goals.create_action_plan(goal)
        
        print(f"Goal: {goal['description']}")
        print(f"  Category: {category}")
        print(f"  Steps: {len(plan['steps'])}")
        print(f"  Estimated cycles: {plan['estimated_cycles']}\n")