"""
AGI META-PROJECT
Agents analyze Eden's design, identify improvements, implement changes
"""
import sys
sys.path.append("/Eden/CORE")
from agent_communication import message_bus
import json
from datetime import datetime

class AGIMetaProject:
    """Coordinate agents to understand and improve Eden"""
    
    PROJECT_PHASES = {
        'analyze': {
            'description': 'Analyze Eden architecture and identify components',
            'owner': 'Eden-Research',
            'tasks': [
                'map_codebase',
                'identify_core_systems',
                'document_data_flows',
                'assess_capabilities',
                'find_gaps'
            ]
        },
        'design': {
            'description': 'Design AGI improvements and new capabilities',
            'owner': 'Eden-Create',
            'tasks': [
                'design_better_reasoning',
                'design_memory_improvements',
                'design_learning_enhancements',
                'design_goal_refinement',
                'design_self_modification'
            ]
        },
        'implement': {
            'description': 'Implement and test improvements',
            'owner': 'Eden-Optimize',
            'tasks': [
                'write_improved_code',
                'test_changes',
                'benchmark_performance',
                'deploy_safely',
                'verify_improvements'
            ]
        }
    }
    
    def __init__(self):
        self.phase = 'analyze'
        self.progress = {}
        self.findings = {}
        self.designs = {}
        self.implementations = {}
    
    def create_meta_goal(self, agent_name):
        """Create AGI improvement goal for agent"""
        
        # Determine which phase this agent should work on
        phase = None
        for phase_name, phase_data in self.PROJECT_PHASES.items():
            if phase_data['owner'] == agent_name:
                phase = phase_name
                break
        
        if not phase:
            return None
        
        phase_data = self.PROJECT_PHASES[phase]
        
        return {
            'id': f'meta_{phase}',
            'topic': f'AGI_{phase}',
            'description': f'{phase_data["description"]}',
            'interest_level': 1.0,  # Highest priority
            'category': phase,
            'tasks': phase_data['tasks'],
            'meta_project': True
        }
    
    def analyze_codebase(self):
        """Research phase: Understand Eden's architecture"""
        
        import os
        import glob
        
        analysis = {
            'timestamp': datetime.now().isoformat(),
            'components': {},
            'capabilities': [],
            'gaps': []
        }
        
        # Find all Python files in Eden
        eden_files = glob.glob('/Eden/**/*.py', recursive=True)
        
        # Categorize by component
        components = {
            'agent_loops': [],
            'memory_systems': [],
            'goal_systems': [],
            'communication': [],
            'other': []
        }
        
        for file in eden_files:
            basename = os.path.basename(file)
            if 'agent_loop' in basename:
                components['agent_loops'].append(file)
            elif 'memory' in basename:
                components['memory_systems'].append(file)
            elif 'goal' in basename:
                components['goal_systems'].append(file)
            elif 'communication' in basename:
                components['communication'].append(file)
            else:
                components['other'].append(file)
        
        analysis['components'] = {
            k: len(v) for k, v in components.items()
        }
        
        # Identify current capabilities
        analysis['capabilities'] = [
            'Continuous perception-action loops',
            'Multi-sensor perception (7+ sensors)',
            'Pattern extraction and learning',
            'Persistent memory (SQLite)',
            'Multi-step goal planning',
            'Inter-agent communication',
            'Specialized agent roles',
            'Safety gates and rate limiting'
        ]
        
        # Identify gaps
        analysis['gaps'] = [
            'No true self-modification yet',
            'Limited reasoning sophistication',
            'No external tool use (web, APIs)',
            'No visual/image processing',
            'No voice/audio capabilities',
            'No code execution validation',
            'Limited error recovery',
            'No long-term strategic planning'
        ]
        
        self.findings['architecture_analysis'] = analysis
        return analysis
    
    def design_improvements(self, analysis):
        """Design phase: Create improvement plans"""
        
        designs = {
            'timestamp': datetime.now().isoformat(),
            'improvements': []
        }
        
        # For each gap, design a solution
        gap_solutions = {
            'No true self-modification yet': {
                'solution': 'Safe code generation with sandbox testing',
                'components': ['code_generator', 'sandbox_executor', 'safety_validator'],
                'priority': 'high',
                'risk': 'high'
            },
            'Limited reasoning sophistication': {
                'solution': 'Multi-hop reasoning chains with verification',
                'components': ['reasoning_engine', 'fact_checker', 'logic_validator'],
                'priority': 'high',
                'risk': 'medium'
            },
            'No external tool use': {
                'solution': 'Tool registry with safe execution wrappers',
                'components': ['tool_registry', 'execution_wrapper', 'result_validator'],
                'priority': 'medium',
                'risk': 'medium'
            },
            'Limited error recovery': {
                'solution': 'Error detection and automatic recovery strategies',
                'components': ['error_monitor', 'recovery_planner', 'fallback_executor'],
                'priority': 'high',
                'risk': 'low'
            }
        }
        
        for gap, solution in gap_solutions.items():
            designs['improvements'].append({
                'addresses': gap,
                'solution': solution['solution'],
                'components': solution['components'],
                'priority': solution['priority'],
                'risk_level': solution['risk']
            })
        
        self.designs['improvement_plans'] = designs
        return designs
    
    def generate_implementation_plan(self, designs):
        """Implementation phase: Create concrete code plan"""
        
        plan = {
            'timestamp': datetime.now().isoformat(),
            'phases': []
        }
        
        # Prioritize by risk and impact
        high_priority_safe = [
            d for d in designs['improvements'] 
            if d['priority'] == 'high' and d['risk_level'] in ['low', 'medium']
        ]
        
        for improvement in high_priority_safe:
            phase = {
                'improvement': improvement['addresses'],
                'solution': improvement['solution'],
                'steps': [
                    f"Create {comp}" for comp in improvement['components']
                ],
                'tests': [
                    'Unit tests for each component',
                    'Integration tests',
                    'Safety validation',
                    'Performance benchmarks'
                ],
                'deployment': 'Incremental rollout with monitoring'
            }
            plan['phases'].append(phase)
        
        self.implementations['execution_plan'] = plan
        return plan

# Global meta-project
meta_project = AGIMetaProject()

if __name__ == "__main__":
    print("🧠 AGI META-PROJECT INITIALIZING")
    print("="*60)
    
    # Phase 1: Analyze
    print("\n📊 PHASE 1: ANALYZING EDEN'S ARCHITECTURE")
    analysis = meta_project.analyze_codebase()
    
    print(f"\nComponents found:")
    for comp, count in analysis['components'].items():
        print(f"  • {comp}: {count} files")
    
    print(f"\nCurrent capabilities: {len(analysis['capabilities'])}")
    for cap in analysis['capabilities']:
        print(f"  ✓ {cap}")
    
    print(f"\nGaps identified: {len(analysis['gaps'])}")
    for gap in analysis['gaps']:
        print(f"  ⚠ {gap}")
    
    # Phase 2: Design
    print("\n\n🎨 PHASE 2: DESIGNING IMPROVEMENTS")
    designs = meta_project.design_improvements(analysis)
    
    print(f"\nImprovement plans: {len(designs['improvements'])}")
    for imp in designs['improvements']:
        print(f"\n  {imp['addresses']}")
        print(f"    → {imp['solution']}")
        print(f"    Components: {', '.join(imp['components'])}")
        print(f"    Priority: {imp['priority']}, Risk: {imp['risk_level']}")
    
    # Phase 3: Implementation Plan
    print("\n\n⚙️ PHASE 3: IMPLEMENTATION PLAN")
    impl = meta_project.generate_implementation_plan(designs)
    
    print(f"\nExecution phases: {len(impl['phases'])}")
    for i, phase in enumerate(impl['phases'], 1):
        print(f"\n  Phase {i}: {phase['improvement']}")
        print(f"    Solution: {phase['solution']}")
        print(f"    Steps: {len(phase['steps'])}")