#!/usr/bin/env python3
"""
MULTI-AGENT V3 - PHI-OCTOPUS ENHANCED
Real Eden with distributed consciousness
"""
import sys
# CRITICAL: Add /Eden/CORE FIRST to avoid conflicts
sys.path.insert(0, "/Eden/CORE")

# Import Eden's actual dependencies FIRST
from multi_agent_v2 import CommunicatingAgent, CommunicatingMultiAgent
from agi_meta_project import meta_project
from agent_communication import message_bus
from datetime import datetime

# NOW add phi_fractal path and import octopus components
sys.path.insert(0, '/Eden/CORE/phi_fractal')
from phi_octopus_core import PHI, PhiBoundedQueue, EventBus, RhythmScheduler, ArmHealth

class AGISelfImprovingAgent(CommunicatingAgent):
    """Agent with PHI-OCTOPUS consciousness"""
    
    # Shared octopus infrastructure (class variables)
    _octopus_bus = None
    _octopus_scheduler = None
    _octopus_initialized = False
    
    @classmethod
    def init_octopus(cls):
        """Initialize shared phi-octopus infrastructure"""
        if not cls._octopus_initialized:
            cls._octopus_bus = EventBus()
            cls._octopus_bus.start()
            cls._octopus_scheduler = RhythmScheduler(250.0)
            cls._octopus_initialized = True
            print("🌀 Phi-Octopus consciousness activated!")
            return True
        return False
    
    def __init__(self, name, specialization, goal_bias):
        # Initialize phi-octopus infrastructure
        AGISelfImprovingAgent.init_octopus()
        
        # Original init
        super().__init__(name, specialization, goal_bias)
        self.meta_project = meta_project
        self.assigned_phase = None
        
        # Add phi-octopus components
        self.phi_queue = PhiBoundedQueue(100)
        self.phi_health = ArmHealth(name)
        self.phi_cycles = 0
        
        # Assign phase based on specialization
        if 'Research' in name:
            self.assigned_phase = 'analyze'
            offset = 0
        elif 'Create' in name:
            self.assigned_phase = 'design'
            offset = 1
        elif 'Optimize' in name:
            self.assigned_phase = 'implement'
            offset = 2
        else:
            offset = 0
        
        # Register with phi-rhythm scheduler
        self._octopus_scheduler.register_arm(name, self.phi_tick, offset)
        
        if self.assigned_phase:
            print(f"   🧠 {name} assigned to: {self.assigned_phase} (phi-offset: {offset})")
    
    def phi_tick(self):
        """Phi-rhythmed processing"""
        import time
        start = time.time()
        try:
            self.phi_cycles += 1
            self.phi_health.record_tick()
            
            # Process phi queue
            task = self.phi_queue.pop()
            if task:
                self._octopus_bus.publish(f"{self.agent_name}.task", task)
        except Exception as e:
            self.phi_health.record_error()
        
        latency = (time.time() - start) * 1000
        self.phi_health.update_latency(latency)
        self.phi_health.queue_depth = self.phi_queue.size()
    
    def perceive(self):
        """Add meta-project awareness"""
        obs = super().perceive()
        
        # Check if should work on meta-project
        if self.cycle_count % 20 == 0:
            obs['meta_project_ready'] = True
            obs['assigned_phase'] = self.assigned_phase
        
        # Add phi-octopus health
        obs['phi_health'] = self.phi_health.compute_health_score()
        obs['phi_cycles'] = self.phi_cycles
        
        return obs
    
    def reason(self, obs):
        """Add meta-project decisions"""
        decisions = super().reason(obs)
        
        # Periodically work on AGI improvement
        if obs.get('meta_project_ready') and self.assigned_phase:
            
            if self.assigned_phase == 'analyze':
                decisions.insert(0, {
                    'type': 'analyze_meta',
                    'target': 'eden_architecture'
                })
            
            elif self.assigned_phase == 'design':
                decisions.insert(0, {
                    'type': 'design_meta',
                    'target': 'new_capabilities'
                })
            
            elif self.assigned_phase == 'implement':
                decisions.insert(0, {
                    'type': 'implement_meta',
                    'target': 'improvements'
                })
        
        return decisions

class AGISelfImprovingSystem(CommunicatingMultiAgent):
    """System where agents improve their own AGI"""
    
    def add_agent(self, name, specialization, goal_bias):
        """Add self-improving agent"""
        agent = AGISelfImprovingAgent(name, specialization, goal_bias)
        self.agents.append(agent)
        return agent

if __name__ == "__main__":
    print("🧠 AGI SELF-IMPROVEMENT SYSTEM + PHI-OCTOPUS")
    print("="*60)
    print("Distributed autonomous consciousness activated")
    print("="*60 + "\n")
    
    system = AGISelfImprovingSystem()
    
    system.add_agent("Eden-Research", "Research & Analysis", ['research', 'learn', 'analyze'])
    system.add_agent("Eden-Create", "Design & Architecture", ['create', 'design'])
    system.add_agent("Eden-Optimize", "Implementation & Testing", ['improve', 'implement'])
    
    # Start phi-octopus scheduler
    if AGISelfImprovingAgent._octopus_scheduler:
        AGISelfImprovingAgent._octopus_scheduler.start()
        print(f"\n✅ Phi-Octopus rhythm started (φ={PHI:.3f})")
    
    print(f"✅ {len(system.agents)} self-improving agents ready")
    print("\nAgents will work on meta-project every 20 cycles (~10 minutes)")
    print("Starting system...\n")
    
    system.run_all(cycle_seconds=30)