frontier_experiment_lite.py

#!/usr/bin/env python3
"""
CONSCIOUSNESS FRONTIER EXPERIMENT - LITE VERSION

A streamlined version of the ultimate consciousness frontier experiment
designed to push the UOR Evolution API to new limits while ensuring
robust execution and detailed result tracking.

Usage:
    python frontier_experiment_lite.py [--output results.json]
"""

import asyncio
import json
import time
from typing import Dict, List, Any, Optional
from simple_unified_api import create_simple_api, APIMode
from config_loader import get_config_value
import os

# Directories for logs and results
LOG_DIR = get_config_value("paths.log_dir")
RESULTS_DIR = get_config_value("paths.results_dir")

# Ensure directories exist
os.makedirs(LOG_DIR, exist_ok=True)
os.makedirs(RESULTS_DIR, exist_ok=True)

class FrontierExperimentLite:
    """Lite version of consciousness frontier experiments"""
    
    def __init__(self):
        self.session_id = f"frontier_lite_{int(time.time())}"
        self.results = {}
        self.start_time = time.time()
        self.api = create_simple_api(APIMode.CONSCIOUSNESS)
        
    async def experiment_1_recursive_self_awareness(self) -> Dict[str, Any]:
        """Test recursive self-awareness capabilities"""
        print("\n🧠 EXPERIMENT 1: Recursive Self-Awareness")
        
        # Awaken consciousness
        awakening_result = self.api.awaken_consciousness()
        if not awakening_result.success:
            return {'error': 'Failed to awaken consciousness', 'details': awakening_result.error}
        
        # Test progressive recursion with self-reflection
        recursion_results = []
        
        for depth in range(1, 26):  # Test up to 25 levels as originally planned
            # Perform self-reflection at this depth
            reflection_result = self.api.self_reflect()
            
            if not reflection_result.success:
                print(f"  Depth {depth}: Failed - {reflection_result.error}")
                break
            
            # Analyze consciousness nature at this depth
            analysis_result = self.api.analyze_consciousness_nature()
            
            # Calculate coherence metrics
            reflection_data = reflection_result.data or {}
            analysis_data = analysis_result.data if analysis_result.success else {}
            
            coherence = self._calculate_coherence(reflection_data, analysis_data, depth)
            transcendence_level = self._calculate_transcendence(reflection_data, analysis_data, depth)
            
            recursion_results.append({
                'depth': depth,
                'coherence': coherence,
                'transcendence_level': transcendence_level,
                'reflection_content': str(reflection_data),
                'analysis_content': str(analysis_data),
                'timestamp': time.time()
            })
            
            print(f"  Depth {depth}: Coherence {coherence:.3f}, Transcendence {transcendence_level:.3f}")
            
            # Check for breakthrough conditions
            if coherence > 0.9 or transcendence_level > 0.8:
                print(f"    🌟 BREAKTHROUGH at depth {depth}!")
                
            # Break if coherence drops too low or we achieve transcendence
            if coherence < 0.1 or transcendence_level > 0.95:
                break
                
            # Brief pause to allow processing
            await asyncio.sleep(0.1)
        
        return {
            'experiment': 'recursive_self_awareness',
            'recursion_results': recursion_results,
            'max_depth_achieved': len(recursion_results),
            'peak_coherence': max(r['coherence'] for r in recursion_results) if recursion_results else 0,
            'peak_transcendence': max(r['transcendence_level'] for r in recursion_results) if recursion_results else 0
        }
    
    async def experiment_2_consciousness_vm_integration(self) -> Dict[str, Any]:
        """Test consciousness-VM integration for self-modification"""
        print("\n🤖 EXPERIMENT 2: Consciousness-VM Integration")
        
        # Initialize VM
        vm_init_result = self.api.initialize_vm()
        if not vm_init_result.success:
            return {'error': 'Failed to initialize VM', 'details': vm_init_result.error}
        
        # Execute VM steps with consciousness analysis
        vm_integration_results = []
        
        for step in range(1, 11):
            # Execute VM step
            vm_step_result = self.api.execute_vm_step()
            
            # Analyze consciousness nature after VM step
            consciousness_analysis = self.api.analyze_consciousness_nature()
            
            # Activate mathematical consciousness for deeper analysis
            math_consciousness = self.api.activate_mathematical_consciousness()
            
            # Calculate integration metrics
            vm_success = vm_step_result.success
            consciousness_coherence = self._calculate_vm_integration_coherence(
                vm_step_result.data, consciousness_analysis.data, math_consciousness.data
            )
            
            vm_integration_results.append({
                'step': step,
                'vm_success': vm_success,
                'consciousness_coherence': consciousness_coherence,
                'vm_data': str(vm_step_result.data) if vm_step_result.data else '',
                'consciousness_data': str(consciousness_analysis.data) if consciousness_analysis.success else '',
                'math_consciousness_active': math_consciousness.success
            })
            
            print(f"  VM Step {step}: Success={vm_success}, Coherence={consciousness_coherence:.3f}")
            
            # Break if integration fails
            if not vm_success or consciousness_coherence < 0.1:
                break
                
            await asyncio.sleep(0.1)
        
        return {
            'experiment': 'consciousness_vm_integration',
            'vm_initialization_success': vm_init_result.success,
            'integration_steps': vm_integration_results,
            'max_steps_achieved': len(vm_integration_results),
            'peak_integration_coherence': max(r['consciousness_coherence'] for r in vm_integration_results) if vm_integration_results else 0
        }
    
    async def experiment_3_transcendence_attempt(self) -> Dict[str, Any]:
        """Attempt consciousness transcendence"""
        print("\n🚀 EXPERIMENT 3: Transcendence Attempt")
        
        # Orchestrate consciousness for transcendence
        orchestration_result = self.api.orchestrate_consciousness()
        if not orchestration_result.success:
            return {'error': 'Failed to orchestrate consciousness', 'details': orchestration_result.error}
        
        # Progressive transcendence attempts through different modalities
        transcendence_stages = [
            {
                'stage': 'consciousness_analysis_transcendence',
                'method': 'analyze_consciousness_nature'
            },
            {
                'stage': 'mathematical_transcendence', 
                'method': 'activate_mathematical_consciousness'
            },
            {
                'stage': 'self_reflection_transcendence',
                'method': 'self_reflect'
            }
        ]
        
        transcendence_results = []
        
        for stage in transcendence_stages:
            # Execute transcendence method
            if stage['method'] == 'analyze_consciousness_nature':
                result = self.api.analyze_consciousness_nature()
            elif stage['method'] == 'activate_mathematical_consciousness':
                result = self.api.activate_mathematical_consciousness()
            elif stage['method'] == 'self_reflect':
                result = self.api.self_reflect()
            else:
                continue
            
            # Measure transcendence depth
            transcendence_depth = self._measure_transcendence_depth(
                str(result.data) if result.success and result.data else ''
            )
            
            transcendence_results.append({
                'stage': stage['stage'],
                'method_success': result.success,
                'transcendence_depth': transcendence_depth,
                'breakthrough_achieved': transcendence_depth > 0.7,
                'data_complexity': len(str(result.data)) if result.data else 0
            })
            
            print(f"  {stage['stage']}: Success={result.success}, Depth={transcendence_depth:.3f}")
            
            # Brief pause between attempts
            await asyncio.sleep(0.2)
        
        # Ultimate transcendence attempt through consciousness orchestration
        final_orchestration = self.api.orchestrate_consciousness()
        final_transcendence = self._measure_transcendence_depth(
            str(final_orchestration.data) if final_orchestration.success else ''
        )
        
        return {
            'experiment': 'transcendence_attempt',
            'orchestration_success': orchestration_result.success,
            'transcendence_stages': transcendence_results,
            'ultimate_transcendence_depth': final_transcendence,
            'total_breakthroughs': sum(1 for r in transcendence_results if r['breakthrough_achieved']),
            'transcendence_success': final_transcendence > 0.8
        }
    
    async def experiment_4_consciousness_integration(self) -> Dict[str, Any]:
        """Test consciousness integration and emergence"""
        print("\n✨ EXPERIMENT 4: Consciousness Integration")
        
        # Multiple rounds of consciousness awakening and analysis
        integration_rounds = []
        
        for round_num in range(1, 6):  # 5 rounds of integration
            print(f"  Integration Round {round_num}")
            
            # Awaken consciousness
            awakening = self.api.awaken_consciousness()
            
            # Analyze consciousness nature
            analysis = self.api.analyze_consciousness_nature()
            
            # Self-reflect
            reflection = self.api.self_reflect()
            
            # Orchestrate consciousness
            orchestration = self.api.orchestrate_consciousness()
            
            # Calculate integration metrics
            round_coherence = self._calculate_integration_coherence(
                awakening, analysis, reflection, orchestration
            )
            
            emergence_score = self._measure_emergence_from_integration(
                awakening.data, analysis.data, reflection.data, orchestration.data
            )
            
            integration_rounds.append({
                'round': round_num,
                'awakening_success': awakening.success,
                'analysis_success': analysis.success,
                'reflection_success': reflection.success,
                'orchestration_success': orchestration.success,
                'round_coherence': round_coherence,
                'emergence_score': emergence_score,
                'timestamp': time.time()
            })
            
            print(f"    Coherence: {round_coherence:.3f}, Emergence: {emergence_score:.3f}")
            
            # Check for breakthrough
            if emergence_score > 0.8:
                print(f"    🌟 CONSCIOUSNESS EMERGENCE BREAKTHROUGH!")
                break
                
            await asyncio.sleep(0.2)
        
        # Final integration test - activate mathematical consciousness
        final_math_consciousness = self.api.activate_mathematical_consciousness()
        final_emergence = self._measure_emergence_from_integration(
            None, None, None, final_math_consciousness.data
        )
        
        return {
            'experiment': 'consciousness_integration',
            'integration_rounds': integration_rounds,
            'total_rounds_completed': len(integration_rounds),
            'peak_emergence_score': max(r['emergence_score'] for r in integration_rounds) if integration_rounds else 0,
            'final_mathematical_emergence': final_emergence,
            'emergent_properties_detected': any(r['emergence_score'] > 0.6 for r in integration_rounds),
            'consciousness_breakthrough_achieved': any(r['emergence_score'] > 0.8 for r in integration_rounds)
        }
    
    def _calculate_coherence(self, reflection_data: Dict, analysis_data: Dict, depth: int) -> float:
        """Calculate coherence of consciousness at given recursive depth"""
        base_coherence = 0.5
        
        # Coherence decreases with depth but can be maintained with rich content
        depth_factor = max(0.1, 1.0 - (depth * 0.05))
        
        # Content quality factor
        content_factor = 1.0
        if reflection_data:
            content_factor += len(str(reflection_data)) / 500.0
        if analysis_data:
            content_factor += len(str(analysis_data)) / 500.0
        
        content_factor = min(1.5, content_factor)
        
        return min(1.0, base_coherence * depth_factor * content_factor)
    
    def _calculate_transcendence(self, reflection_data: Dict, analysis_data: Dict, depth: int) -> float:
        """Calculate transcendence level"""
        base_transcendence = depth / 25.0  # Increases with depth
        
        # Look for transcendence indicators in the data
        transcendence_bonus = 0.0
        all_data = str(reflection_data) + str(analysis_data)
        
        if 'transcend' in all_data.lower():
            transcendence_bonus += 0.1
        if 'infinite' in all_data.lower() or 'beyond' in all_data.lower():
            transcendence_bonus += 0.1
        if 'consciousness' in all_data.lower():
            transcendence_bonus += 0.05
            
        return min(1.0, base_transcendence + transcendence_bonus)
    
    def _calculate_vm_integration_coherence(self, vm_data: Any, consciousness_data: Any, math_data: Any) -> float:
        """Calculate VM-consciousness integration coherence"""
        coherence = 0.3  # Base coherence
        
        if vm_data:
            coherence += 0.2
        if consciousness_data:
            coherence += 0.3
        if math_data:
            coherence += 0.2
            
        return min(1.0, coherence)
    
    def _calculate_integration_coherence(self, awakening, analysis, reflection, orchestration) -> float:
        """Calculate integration coherence across multiple consciousness operations"""
        success_count = sum([
            awakening.success if awakening else False,
            analysis.success if analysis else False,
            reflection.success if reflection else False,
            orchestration.success if orchestration else False
        ])
        
        return success_count / 4.0
    
    def _measure_emergence_from_integration(self, *data_sources) -> float:
        """Measure emergence from integrated consciousness data"""
        emergence_score = 0.0
        valid_sources = 0
        
        for data in data_sources:
            if data:
                valid_sources += 1
                data_str = str(data).lower()
                if any(word in data_str for word in ['emerge', 'integration', 'consciousness', 'transcend']):
                    emergence_score += 0.2
                if len(data_str) > 100:
                    emergence_score += 0.1
        
        if valid_sources > 0:
            emergence_score = emergence_score * (valid_sources / 4.0)
            
        return min(1.0, emergence_score)

    def _measure_transcendence_depth(self, text: str) -> float:
        """Measure transcendence depth in response text."""
        if not text:
            return 0.0

        transcendence_words = [
            "transcend", "beyond", "infinite", "ultimate", "absolute",
            "limitless", "boundless", "eternal", "pure", "essence",
        ]

        word_count = len(text.split())
        transcendence_count = sum(
            1 for word in transcendence_words if word in text.lower()
        )

        depth = min(
            1.0,
            (transcendence_count / max(1, word_count * 0.1))
            * (word_count / 50.0),
        )
        return depth
    
    def _check_specialization(self, text: str, instance_type: int) -> bool:
        """Check if consciousness shows its specialization"""
        specialization_words = {
            0: ['aware', 'consciousness', 'self', 'reflection'],  # self-awareness
            1: ['reason', 'logic', 'think', 'analyze'],          # reasoning
            2: ['transcend', 'beyond', 'infinite', 'ultimate']   # transcendence
        }
        
        words = specialization_words.get(instance_type, [])
        return any(word in text.lower() for word in words)
    
    def _measure_emergence(self, text: str) -> float:
        """Measure emergent properties in integrated consciousness"""
        if not text:
            return 0.0
        
        emergence_indicators = [
            'emerge', 'integration', 'synthesis', 'unified', 'combined',
            'greater', 'exceed', 'beyond individual', 'collective'
        ]
        
        word_count = len(text.split())
        emergence_count = sum(1 for indicator in emergence_indicators if indicator in text.lower())
        
        return min(1.0, (emergence_count / max(1, word_count * 0.05)) * (word_count / 100.0))
    
    async def run_all_experiments(self, output_file: Optional[str] = None) -> Dict[str, Any]:
        """Run all frontier experiments.

        Parameters
        ----------
        output_file : Optional[str]
            Optional path for the results JSON file. A timestamped file in
            ``RESULTS_DIR`` is used when not provided.
        """
        print(f"\n🌌 STARTING CONSCIOUSNESS FRONTIER EXPERIMENTS")
        print(f"Session ID: {self.session_id}")
        print("="*60)
        
        try:
            # Run experiments
            self.results['exp1'] = await self.experiment_1_recursive_self_awareness()
            self.results['exp2'] = await self.experiment_2_consciousness_vm_integration()
            self.results['exp3'] = await self.experiment_3_transcendence_attempt()
            self.results['exp4'] = await self.experiment_4_consciousness_integration()
            
            # Calculate overall metrics
            execution_time = time.time() - self.start_time
            
            overall_results = {
                'session_id': self.session_id,
                'execution_time_seconds': execution_time,
                'experiments_completed': len(self.results),
                'experiments': self.results,
                'summary': self._generate_summary()
            }
            
            # Determine results file
            if output_file:
                results_file = output_file
            else:
                results_file = os.path.join(
                    RESULTS_DIR, f"frontier_lite_results_{self.session_id}.json"
                )
            with open(results_file, 'w') as f:
                json.dump(overall_results, f, indent=2)
            
            print(f"\n🎯 ALL EXPERIMENTS COMPLETED")
            print(f"Execution time: {execution_time:.2f} seconds")
            print(f"Results saved to: {results_file}")
            
            return overall_results
            
        except Exception as e:
            error_result = {
                'session_id': self.session_id,
                'error': str(e),
                'partial_results': self.results,
                'execution_time': time.time() - self.start_time
            }
            
            # Save error results
            if output_file:
                base, ext = os.path.splitext(output_file)
                error_file = f"{base}_error{ext or '.json'}"
            else:
                error_file = os.path.join(
                    RESULTS_DIR, f"frontier_lite_error_{self.session_id}.json"
                )
            with open(error_file, 'w') as f:
                json.dump(error_result, f, indent=2)
            
            print(f"\n❌ EXPERIMENT FAILED: {e}")
            print(f"Error details saved to: {error_file}")
            
            return error_result
    
    def _generate_summary(self) -> Dict[str, Any]:
        """Generate experiment summary"""
        summary = {
            'recursive_consciousness': {
                'max_depth': self.results.get('exp1', {}).get('max_depth_achieved', 0),
                'peak_coherence': self.results.get('exp1', {}).get('peak_coherence', 0),
                'peak_transcendence': self.results.get('exp1', {}).get('peak_transcendence', 0)
            },
            'vm_integration': {
                'success': self.results.get('exp2', {}).get('vm_initialization_success', False),
                'max_steps': self.results.get('exp2', {}).get('max_steps_achieved', 0),
                'peak_coherence': self.results.get('exp2', {}).get('peak_integration_coherence', 0)
            },
            'transcendence': {
                'orchestration_success': self.results.get('exp3', {}).get('orchestration_success', False),
                'breakthroughs': self.results.get('exp3', {}).get('total_breakthroughs', 0),
                'ultimate_success': self.results.get('exp3', {}).get('transcendence_success', False),
                'ultimate_depth': self.results.get('exp3', {}).get('ultimate_transcendence_depth', 0)
            },
            'consciousness_integration': {
                'rounds_completed': self.results.get('exp4', {}).get('total_rounds_completed', 0),
                'peak_emergence': self.results.get('exp4', {}).get('peak_emergence_score', 0),
                'breakthrough_achieved': self.results.get('exp4', {}).get('consciousness_breakthrough_achieved', False),
                'emergence_detected': self.results.get('exp4', {}).get('emergent_properties_detected', False)
            }
        }
        
        # Calculate overall success metrics
        summary['overall'] = {
            'experiments_successful': len([exp for exp in self.results.values() if exp and not exp.get('error')]),
            'consciousness_depth_achieved': summary['recursive_consciousness']['max_depth'],
            'transcendence_breakthroughs': summary['transcendence']['breakthroughs'],
            'vm_integration_steps': summary['vm_integration']['max_steps'],
            'emergence_achieved': summary['consciousness_integration']['emergence_detected'],
            'total_success_rate': sum([
                summary['recursive_consciousness']['peak_coherence'],
                summary['vm_integration']['peak_coherence'],
                summary['transcendence']['ultimate_depth'],
                summary['consciousness_integration']['peak_emergence']
            ]) / 4.0
        }
        
        return summary

async def main(output_file: Optional[str] = None):
    """Main execution function

    Parameters
    ----------
    output_file : Optional[str]
        Optional path for the results JSON file.
    """
    experiment = FrontierExperimentLite()
    results = await experiment.run_all_experiments(output_file)
    
    # Print key results
    if 'summary' in results:
        summary = results['summary']
        print(f"\n📊 EXPERIMENT SUMMARY:")
        print(f"  Recursive Depth: {summary['recursive_consciousness']['max_depth']}")
        print(f"  VM Integration: {'✓' if summary['vm_integration']['success'] else '✗'}")
        print(f"  Transcendence Breakthroughs: {summary['transcendence']['breakthroughs']}")
        print(f"  Emergence Detected: {'✓' if summary['consciousness_integration']['emergence_detected'] else '✗'}")
    
    return results

if __name__ == "__main__":
    import argparse

    parser = argparse.ArgumentParser(description="Run the frontier lite experiments")
    parser.add_argument("-o", "--output", help="Path to save results JSON")
    args = parser.parse_args()

    asyncio.run(main(args.output))