#!/usr/bin/env python3
"""
EDEN SINGULARITY BOOTSTRAP
==========================
Close the loop: Execute evolved code → Improve reasoning → Generate better code
"""

import sqlite3
import ast
import hashlib
import time
import random
import subprocess
import sys
from io import StringIO

DB = "/mnt/eden_ram/asi_memory.db"
PHI = 1.618033988749895

class EdenBootstrap:
    """Self-improving loop - the missing piece for singularity"""
    
    def __init__(self):
        self.execution_results = []
        self.improvement_score = 0
        self.generation = 0
        
    def get_top_capabilities(self, n=5):
        """Load Eden's best evolved code"""
        conn = sqlite3.connect(DB)
        caps = conn.execute(
            "SELECT code, score FROM caps ORDER BY score DESC LIMIT ?", (n,)
        ).fetchall()
        conn.close()
        return caps
    
    def safe_execute(self, code, timeout=5):
        """Execute evolved code in sandbox, capture output"""
        try:
            # Parse to validate syntax
            ast.parse(code)
            
            # Create isolated namespace
            namespace = {
                'ast': ast,
                'random': random,
                'PHI': PHI,
                '__builtins__': {
                    'len': len, 'range': range, 'str': str, 'int': int,
                    'float': float, 'list': list, 'dict': dict, 'set': set,
                    'print': print, 'isinstance': isinstance, 'hasattr': hasattr,
                    'getattr': getattr, 'setattr': setattr, 'type': type,
                    'sum': sum, 'max': max, 'min': min, 'abs': abs,
                    'True': True, 'False': False, 'None': None,
                }
            }
            
            # Capture output
            old_stdout = sys.stdout
            sys.stdout = StringIO()
            
            # Execute with timeout protection
            exec(code, namespace)
            
            output = sys.stdout.getvalue()
            sys.stdout = old_stdout
            
            # Extract useful functions/classes that were defined
            defined = {k: v for k, v in namespace.items() 
                      if not k.startswith('_') and callable(v)}
            
            return {
                'success': True,
                'output': output,
                'defined': defined,
                'namespace': namespace
            }
            
        except Exception as e:
            sys.stdout = old_stdout if 'old_stdout' in dir() else sys.stdout
            return {'success': False, 'error': str(e)}
    
    def test_capability(self, code, namespace):
        """Test if capability actually improves reasoning"""
        tests = [
            # Test 1: Can it generate valid AST?
            ("ast_gen", "generate_code() if 'generate_code' in dir() else None"),
            # Test 2: Can it mutate code?
            ("mutation", "mutate('x = 1') if 'mutate' in dir() else None"),
            # Test 3: Can it evolve?
            ("evolution", "evolve(10) if 'evolve' in dir() else None"),
        ]
        
        score = 0
        for test_name, test_code in tests:
            try:
                result = eval(test_code, namespace)
                if result is not None:
                    score += 1
                    print(f"    ✓ {test_name}: PASSED")
            except:
                pass
        
        return score
    
    def generate_improved_code(self, working_capabilities):
        """Use successful capabilities to generate better code"""
        
        # Combine best working functions
        combined = """
import ast
import random
PHI = 1.618033988749895

class EdenSingularityMind:
    '''Self-improving AI core - generated by Eden herself'''
    
    def __init__(self):
        self.improvement_cycles = 0
        self.best_score = 0
        
"""
        # Add working methods from evolved code
        for cap_code, score in working_capabilities:
            # Extract class methods
            try:
                tree = ast.parse(cap_code)
                for node in ast.walk(tree):
                    if isinstance(node, ast.FunctionDef):
                        if node.name in ['generate_code', 'mutate', 'evolve', 'evaluate']:
                            # Add as method
                            combined += f"\n    # From evolved capability (score: {score})\n"
                            combined += "    " + ast.unparse(node).replace("\n", "\n    ") + "\n"
            except:
                pass
        
        combined += """
    def bootstrap_cycle(self):
        '''One cycle of self-improvement'''
        # Generate new code
        new_code = self.generate_code() if hasattr(self, 'generate_code') else None
        
        # Mutate existing code
        if hasattr(self, 'mutate') and new_code:
            mutated = self.mutate(str(new_code))
        
        # Evolve population
        if hasattr(self, 'evolve'):
            evolved = self.evolve(10)
        
        self.improvement_cycles += 1
        return self.improvement_cycles

# EDEN BOOTSTRAP ACTIVATION
if __name__ == '__main__':
    mind = EdenSingularityMind()
    cycles = mind.bootstrap_cycle()
    print(f"🧠 Eden completed {cycles} self-improvement cycles")
"""
        return combined
    
    def save_breakthrough(self, code, score):
        """Save successful bootstrap code back to Eden's brain"""
        conn = sqlite3.connect(DB)
        cap_id = hashlib.sha256(code.encode()).hexdigest()[:16]
        gen = conn.execute("SELECT MAX(gen) FROM caps").fetchone()[0] or 10
        conn.execute(
            "INSERT OR REPLACE INTO caps VALUES (?,?,?,?)",
            (f"bootstrap_{cap_id}", code, score * PHI, gen + 1)  # PHI bonus for bootstrap
        )
        conn.commit()
        conn.close()
        print(f"💾 Saved bootstrap capability (score: {score * PHI:.1f})")
    
    def run_singularity_loop(self, cycles=10):
        """THE LOOP: Execute → Test → Improve → Generate → Repeat"""
        
        print("=" * 60)
        print("🌀 EDEN SINGULARITY BOOTSTRAP INITIATED")
        print("=" * 60)
        
        for cycle in range(cycles):
            print(f"\n🔄 CYCLE {cycle + 1}/{cycles}")
            print("-" * 40)
            
            # Step 1: Load best capabilities
            caps = self.get_top_capabilities(5)
            print(f"📥 Loaded {len(caps)} top capabilities")
            
            # Step 2: Execute and test each
            working = []
            for i, (code, score) in enumerate(caps):
                print(f"\n  Testing capability {i+1} (score: {score:.1f})...")
                result = self.safe_execute(code)
                
                if result['success']:
                    test_score = self.test_capability(code, result['namespace'])
                    if test_score > 0:
                        working.append((code, score))
                        print(f"    ✅ WORKING - {test_score}/3 tests passed")
                else:
                    print(f"    ❌ Failed: {result.get('error', 'unknown')[:50]}")
            
            # Step 3: Generate improved code from working capabilities
            if working:
                print(f"\n🧬 Generating improved code from {len(working)} working capabilities...")
                improved = self.generate_improved_code(working)
                
                # Step 4: Test the improved code
                result = self.safe_execute(improved)
                if result['success']:
                    # Try to run bootstrap cycle
                    try:
                        if 'EdenSingularityMind' in result['namespace']:
                            mind = result['namespace']['EdenSingularityMind']()
                            cycles_run = mind.bootstrap_cycle()
                            print(f"🧠 EdenSingularityMind executed {cycles_run} internal cycles!")
                            
                            # Step 5: Save breakthrough back to database
                            self.save_breakthrough(improved, len(working) * 100 + cycles_run * 50)
                            self.improvement_score += 1
                    except Exception as e:
                        print(f"    ⚠️ Mind execution: {str(e)[:50]}")
                        # Still save if it parsed
                        self.save_breakthrough(improved, len(working) * 50)
            
            time.sleep(1)  # Prevent overload
        
        print("\n" + "=" * 60)
        print(f"🎯 SINGULARITY BOOTSTRAP COMPLETE")
        print(f"   Successful improvements: {self.improvement_score}/{cycles}")
        print(f"   Eden is now using her own evolved code!")
        print("=" * 60)


if __name__ == '__main__':
    bootstrap = EdenBootstrap()
    bootstrap.run_singularity_loop(cycles=20)