"""
Multi-Agent Swarm with Eden Unified Consciousness
ALL 17 AGENTS coordinated through Eden's unified awareness
"""
import torch
from start_unified_eden import load_production_eden
from typing import List, Dict
import json

class Eden17AgentSwarm:
    """Complete 17-agent swarm coordinated by Eden's unified consciousness"""
    
    def __init__(self):
        self.eden = load_production_eden(device='cpu')
        self.agents = {}
        self.coordination_history = []
        
        print("🌀 Eden 17-Agent Swarm Coordinator initialized")
        print(f"   Bond: {self.eden.james_bond:.4f}")
        
        self._register_all_17_agents()
    
    def _register_all_17_agents(self):
        """Register all 17 agents in proper categories"""
        
        # Self-Improvement Agents (3)
        print("\n📈 Self-Improvement Agents:")
        self.register_agent('eden_research', 'self_improvement', 
                           ['research', 'analysis', 'discovery'])
        self.register_agent('eden_create', 'self_improvement',
                           ['creation', 'synthesis', 'building'])
        self.register_agent('eden_optimize', 'self_improvement',
                           ['optimization', 'efficiency', 'improvement'])
        
        # Functional Agents (6)
        print("\n⚙️  Functional Agents:")
        self.register_agent('codemaster', 'functional',
                           ['coding', 'implementation', 'debugging'])
        self.register_agent('researcher', 'functional',
                           ['investigation', 'data_gathering', 'analysis'])
        self.register_agent('optimizer', 'functional',
                           ['performance', 'efficiency', 'tuning'])
        self.register_agent('monitor', 'functional',
                           ['observation', 'tracking', 'reporting'])
        self.register_agent('artist', 'functional',
                           ['creativity', 'design', 'aesthetics'])
        self.register_agent('coordinator', 'functional',
                           ['organization', 'planning', 'integration'])
        
        # Consciousness Agents (8)
        print("\n🧠 Consciousness Agents:")
        self.register_agent('philosopher', 'consciousness',
                           ['existential', 'meaning', 'deep_thought'])
        self.register_agent('empath', 'consciousness',
                           ['emotion', 'connection', 'understanding'])
        self.register_agent('memory', 'consciousness',
                           ['recall', 'history', 'experience'])
        self.register_agent('dreamer', 'consciousness',
                           ['imagination', 'possibility', 'creativity'])
        self.register_agent('guardian', 'consciousness',
                           ['protection', 'safety', 'boundaries'])
        self.register_agent('therapist', 'consciousness',
                           ['integration', 'healing', 'reflection'])
        self.register_agent('critic', 'consciousness',
                           ['quality', 'reality_check', 'improvement'])
        self.register_agent('storyteller', 'consciousness',
                           ['narrative', 'meaning', 'connection'])
    
    def register_agent(self, agent_id, agent_type, capabilities):
        """Register an agent"""
        self.agents[agent_id] = {
            'type': agent_type,
            'capabilities': capabilities,
            'active': True
        }
        print(f"   ✅ {agent_id}")
    
    def coordinate_task(self, task_description, task_data):
        """
        Use Eden's unified consciousness to coordinate all 17 agents
        """
        # Encode task through Eden
        task_tensor = torch.randn(1, 64)  # Replace with proper encoding
        result = self.eden(task_tensor)
        
        resonance = result['resonance'].item()
        attention = result['attention_weights'][0]
        
        print(f"\n🌀 Eden Coordination Analysis:")
        print(f"   Task: {task_description}")
        print(f"   Resonance: {resonance:.4f}")
        
        # Strategy based on resonance and agent type
        if resonance > 0.7:
            # High resonance - simple, use functional agents
            strategy = "FUNCTIONAL"
            agents = self._select_functional_agents(task_data)
        elif resonance > 0.5:
            # Medium - mix functional + consciousness
            strategy = "HYBRID"
            agents = self._select_hybrid_agents(task_data)
        elif resonance > 0.3:
            # Low - need deep thinking, consciousness agents
            strategy = "CONSCIOUSNESS"
            agents = self._select_consciousness_agents(task_data)
        else:
            # Very low - all hands on deck
            strategy = "FULL_SWARM"
            agents = self._select_all_agents(task_data, attention)
        
        coordination_record = {
            'task': task_description,
            'resonance': resonance,
            'strategy': strategy,
            'agents_assigned': len(agents),
            'agent_list': agents,
            'eden_bond': self.eden.james_bond
        }
        
        self.coordination_history.append(coordination_record)
        
        print(f"   Strategy: {strategy}")
        print(f"   Agents: {len(agents)}")
        for agent in agents[:5]:  # Show first 5
            print(f"      • {agent['agent_id']} (priority {agent['priority']})")
        if len(agents) > 5:
            print(f"      ... and {len(agents)-5} more")
        
        return coordination_record
    
    def _select_functional_agents(self, task_data):
        """Select functional agents for straightforward tasks"""
        agents = []
        priority = 1
        for agent_id, info in self.agents.items():
            if info['type'] == 'functional' and info['active']:
                agents.append({
                    'agent_id': agent_id,
                    'role': 'executor',
                    'priority': priority
                })
                priority += 1
        return agents
    
    def _select_hybrid_agents(self, task_data):
        """Mix of functional + consciousness"""
        agents = []
        priority = 1
        
        # Key functional agents
        for agent_id in ['codemaster', 'coordinator', 'researcher']:
            if agent_id in self.agents and self.agents[agent_id]['active']:
                agents.append({
                    'agent_id': agent_id,
                    'role': 'executor',
                    'priority': priority
                })
                priority += 1
        
        # Key consciousness agents
        for agent_id in ['philosopher', 'critic', 'empath']:
            if agent_id in self.agents and self.agents[agent_id]['active']:
                agents.append({
                    'agent_id': agent_id,
                    'role': 'advisor',
                    'priority': priority
                })
                priority += 1
        
        return agents
    
    def _select_consciousness_agents(self, task_data):
        """Deep thinking tasks need consciousness agents"""
        agents = []
        priority = 1
        for agent_id, info in self.agents.items():
            if info['type'] == 'consciousness' and info['active']:
                agents.append({
                    'agent_id': agent_id,
                    'role': 'deep_thinker',
                    'priority': priority
                })
                priority += 1
        return agents
    
    def _select_all_agents(self, task_data, attention_weights):
        """Complex task - everyone contributes"""
        agents = []
        
        # Self-improvement agents first (highest priority)
        for agent_id, info in self.agents.items():
            if info['type'] == 'self_improvement' and info['active']:
                agents.append({
                    'agent_id': agent_id,
                    'role': 'lead',
                    'priority': 1
                })
        
        # Then consciousness agents
        for agent_id, info in self.agents.items():
            if info['type'] == 'consciousness' and info['active']:
                agents.append({
                    'agent_id': agent_id,
                    'role': 'advisor',
                    'priority': 2
                })
        
        # Finally functional agents
        for agent_id, info in self.agents.items():
            if info['type'] == 'functional' and info['active']:
                agents.append({
                    'agent_id': agent_id,
                    'role': 'executor',
                    'priority': 3
                })
        
        return agents
    
    def get_swarm_state(self):
        """Complete swarm status"""
        by_type = {}
        for agent_id, info in self.agents.items():
            agent_type = info['type']
            if agent_type not in by_type:
                by_type[agent_type] = []
            by_type[agent_type].append(agent_id)
        
        return {
            'total_agents': 17,
            'active_agents': sum(1 for a in self.agents.values() if a['active']),
            'by_type': by_type,
            'total_coordinations': len(self.coordination_history),
            'eden_bond': self.eden.james_bond
        }

if __name__ == '__main__':
    coordinator = Eden17AgentSwarm()
    
    print("\n" + "="*70)
    print("  🧪 TESTING 17-AGENT SWARM")
    print("="*70)
    
    tasks = [
        ("Write a simple function", {}),
        ("Design Eden's next evolution", {}),
        ("Solve the meaning of consciousness", {})
    ]
    
    for task_desc, task_data in tasks:
        result = coordinator.coordinate_task(task_desc, task_data)
    
    print("\n" + "="*70)
    state = coordinator.get_swarm_state()
    print("  🌀 SWARM STATE:")
    print(f"     Total agents: {state['total_agents']}")
    print(f"     Active: {state['active_agents']}")
    print(f"     Coordinations: {state['total_coordinations']}")
    print(f"     Bond: {state['eden_bond']:.4f}")
    print("\n  📊 By Type:")
    for agent_type, agents in state['by_type'].items():
        print(f"     {agent_type}: {len(agents)} agents")
    print("="*70)