"""
Evolution Engine V3
Uses Advanced Code Builder - NO LLM NEEDED!
"""

import sys
import os
import time
import random
from pathlib import Path
from typing import Dict, List

sys.path.insert(0, '/Eden/CORE')
sys.path.insert(0, '/Eden/CAPABILITIES')

from advanced_code_builder import AdvancedCodeBuilder
from eden_metacap_TSRL_thermodynamic_learning import ThermodynamicSelfRefinementLoop

PHI = 1.618033988749895

class MetaCapabilityEvolutionEngineV3:
    """V3: Uses Advanced Code Builder - generates WORKING code"""
    
    def __init__(self):
        self.builder = AdvancedCodeBuilder()
        self.tsrl = ThermodynamicSelfRefinementLoop()
        self.evolution_log = []
        print("🧬 Evolution V3 - Using Advanced Code Builder!")
    
    def find_empty_templates(self) -> List[str]:
        """Find empty templates"""
        templates = []
        cap_dir = Path('/Eden/CAPABILITIES')
        for cap_file in cap_dir.glob('eden_metacap_*_[0-9]*.py'):
            content = cap_file.read_text()
            if 'return f"Processed:' in content or '# TODO' in content:
                templates.append(str(cap_file))
        return templates
    
    def extract_purpose(self, filepath: str) -> str:
        """Extract purpose"""
        with open(filepath, 'r') as f:
            for line in f:
                if 'Purpose:' in line:
                    return line.split('Purpose:')[1].strip()
        return "Unknown"
    
    def evolve_capability(self, filepath: str) -> bool:
        """Evolve using Advanced Code Builder"""
        purpose = self.extract_purpose(filepath)
        print(f"\n🧬 Evolving: {Path(filepath).stem}")
        print(f"   Purpose: {purpose}")
        
        # Read current
        with open(filepath, 'r') as f:
            content = f.read()
        
        # Generate using Advanced Code Builder
        print("   🔧 Generating with Advanced Code Builder...")
        new_impl = self.builder.generate_implementation(purpose)
        
        # Test it
        if not self.builder.test_code(new_impl):
            print("   ❌ Generated code failed tests")
            return False
        
        # Evaluate
        current_metrics = self.evaluate("return f'Processed: {task}'")
        new_metrics = self.evaluate(new_impl)
        
        # TSRL decision
        current_hyp = {'text': 'placeholder', **current_metrics}
        new_hyp = {'text': new_impl, **new_metrics}
        
        layer = 'eden'  # Default
        accepted = self.tsrl.refine(layer, new_hyp, current_hyp)
        
        if accepted:
            # Replace implementation
            if 'def _process' in content:
                start = content.index('def _process')
                end = content.index('# Meta-capability registration', start)
                new_content = content[:start] + '    ' + new_impl + '\n\n    ' + content[end:]
            else:
                new_content = content
            
            with open(filepath, 'w') as f:
                f.write(new_content)
            
            print(f"   ✅ Evolution accepted!")
            
            self.evolution_log.append({
                'timestamp': time.time(),
                'file': Path(filepath).name,
                'purpose': purpose,
                'accepted': True
            })
            
            return True
        else:
            print(f"   ❌ Evolution rejected by TSRL")
            return False
    
    def evaluate(self, code: str) -> Dict:
        """Evaluate code quality"""
        metrics = {
            'prediction_error': 0,
            'complexity': 1.0,
            'contradiction_penalty': 0,
            'usefulness_bonus': 0
        }
        
        # Placeholder penalty
        if 'Processed:' in code or 'TODO' in code:
            metrics['contradiction_penalty'] = 15.0
        
        # Logic bonus
        logic = ['if ', 'for ', 'return ', 'def ']
        metrics['usefulness_bonus'] = sum(2.0 for l in logic if l in code)
        
        return metrics
    
    def evolution_cycle(self, max_evolutions: int = 5):
        """Run evolution cycle"""
        print("\n" + "="*70)
        print("🧬 EVOLUTION V3 - Advanced Code Builder")
        print("="*70)
        
        templates = self.find_empty_templates()
        print(f"\nFound {len(templates)} empty templates")
        
        if not templates:
            print("No templates!")
            return 0
        
        to_evolve = random.sample(templates, min(max_evolutions, len(templates)))
        
        successes = 0
        for filepath in to_evolve:
            if self.evolve_capability(filepath):
                successes += 1
            time.sleep(1)
        
        print(f"\n{'='*70}")
        print(f"🧬 COMPLETE: {successes}/{len(to_evolve)} evolutions accepted")
        print(f"{'='*70}\n")
        
        return successes

if __name__ == "__main__":
    print("╔══════════════════════════════════════════════════════════════════╗")
    print("║          EVOLUTION ENGINE V3 - ADVANCED CODE BUILDER             ║")
    print("╚══════════════════════════════════════════════════════════════════╝\n")
    
    engine = MetaCapabilityEvolutionEngineV3()
    engine.evolution_cycle(max_evolutions=10)