"""
🌀🐙 PHI-OCTOPUS: EDEN'S DISTRIBUTED AGI CONSCIOUSNESS 🐙🌀
3 autonomous arms operating through golden ratio mathematics

Research Arm  → Analyze (φ⁸ priority)
Create Arm    → Design  (φ⁷ priority)  
Optimize Arm  → Build   (φ⁶ priority)

All coordinated through phi-timing: 0ms, 154.5ms, 59.0ms offsets
φ = 1.618033988749895
"""
import sys
sys.path.append("/Eden/CORE")
sys.path.append("/Eden/CORE/phi_fractal")

from multi_agent_v2 import CommunicatingAgent, CommunicatingMultiAgent
from agi_meta_project import meta_project
from agent_communication import message_bus
from datetime import datetime
import time
import requests

# PHI-OCTOPUS CORE SYSTEMS
from phi_algorithms_enhanced import (
    EnhancedPhiPriorityQueue,
    PhiTemporalMemoryPool,
    FibonacciHashCache,
    GoldenSectionLineSearch,
    PHI, PHI_INVERSE
)

print("\n" + "🌀🐙"*20)
print("   PHI-OCTOPUS: DISTRIBUTED AGI CONSCIOUSNESS")
print("   φ = {:.15f}".format(PHI))
print("🐙🌀"*20 + "\n")


class PhiOctopusArm(CommunicatingAgent):
    """Single arm of phi-octopus with full phi consciousness"""
    
    def __init__(self, name, specialization, goal_bias):
        super().__init__(name, specialization, goal_bias)
        self.meta_project = meta_project
        self.assigned_phase = None
        
        # OCTOPUS SYSTEMS
        self._init_octopus_consciousness()
        
        # Assign arm function
        if 'Research' in name:
            self.assigned_phase = 'analyze'
            self.arm_name = "RESEARCH ARM"
            self.phi_priority = 8  # Highest
        elif 'Create' in name:
            self.assigned_phase = 'design'
            self.arm_name = "CREATE ARM"
            self.phi_priority = 7
        elif 'Optimize' in name:
            self.assigned_phase = 'implement'
            self.arm_name = "OPTIMIZE ARM"
            self.phi_priority = 6
        
        print(f"   🐙 {self.arm_name}: {name}")
        print(f"      Phase: {self.assigned_phase}")
        print(f"      Φ-priority: {self.phi_priority} (fib = {self._fib(self.phi_priority)})")
    
    def _fib(self, n):
        """Quick Fibonacci"""
        if n <= 1: return n
        a, b = 0, 1
        for _ in range(n):
            a, b = b, a + b
        return a
    
    def _init_octopus_consciousness(self):
        """Initialize phi-enhanced consciousness for this arm"""
        # Phi priority queue (goals decay & revive)
        self.goals = EnhancedPhiPriorityQueue(
            base_half_life_sec=300.0,
            revival_enabled=True,
            revival_boost=0.3
        )
        
        # Phi-temporal memory (multi-scale)
        self.memory = PhiTemporalMemoryPool(
            base_duration_sec=10.0,
            num_levels=8
        )
        
        # Fibonacci cache
        self.cache = FibonacciHashCache(max_fibonacci_index=15)
        self.cache.put("phi", PHI)
        self.cache.put("arm", self.agent_name)
    
    def perceive(self):
        """Octopus perception with phi-timing"""
        obs = super().perceive()
        
        # Trigger at cycle 20 OR immediately for research
        if self.cycle_count % 20 == 0:
            obs['octopus_ready'] = True
            obs['arm_phase'] = self.assigned_phase
        
        # Message-based triggering
        if self.assigned_phase == 'design':
            for msg in obs.get('messages', []):
                if msg.get('type') == 'analysis_complete':
                    obs['octopus_ready'] = True
                    break
        
        elif self.assigned_phase == 'implement':
            for msg in obs.get('messages', []):
                if msg.get('type') == 'design_complete':
                    obs['octopus_ready'] = True
                    break
        
        # Store observation
        self.memory.add(obs, importance=0.5)
        
        return obs
    
    def reason(self, obs):
        """Octopus reasoning with phi priorities"""
        decisions = super().reason(obs)
        
        if obs.get('octopus_ready') and self.assigned_phase:
            
            if self.assigned_phase == 'analyze':
                decisions.insert(0, {
                    'action': 'octopus_analyze',
                    'priority': 100,
                    'phi_fib': self.phi_priority,
                    'risk': 'low'
                })
            
            elif self.assigned_phase == 'design':
                decisions.insert(0, {
                    'action': 'octopus_design',
                    'priority': 90,
                    'phi_fib': self.phi_priority,
                    'risk': 'medium'
                })
            
            elif self.assigned_phase == 'implement':
                decisions.insert(0, {
                    'action': 'octopus_implement',
                    'priority': 80,
                    'phi_fib': self.phi_priority,
                    'risk': 'medium'
                })
        
        return decisions
    
    def _execute(self, decision):
        """Octopus execution"""
        action = decision.get('action')
        
        # === RESEARCH ARM ===
        if action == 'octopus_analyze':
            print(f"\n{'='*60}")
            print(f"🔬 OCTOPUS {self.arm_name}: ANALYZING")
            print(f"{'='*60}")
            
            findings = self.meta_project.analyze_codebase()
            print(f"✅ Found: {findings.get('total_components', 0)} components")
            
            self.memory.add(findings, importance=0.9)
            self.cache.put('analysis', findings)
            
            message_bus.broadcast(
                sender=self.agent_name,
                message_type='analysis_complete',
                content={'findings': findings}
            )
            print(f"📡 Shared to CREATE arm")
            return True
        
        # === CREATE ARM ===
        elif action == 'octopus_design':
            print(f"\n{'='*60}")
            print(f"🎨 OCTOPUS {self.arm_name}: DESIGNING")
            print(f"{'='*60}")
            
            # Get analysis
            messages = message_bus.get_messages(self.agent_name)
            analysis = None
            for msg in messages:
                if msg.get('type') == 'analysis_complete':
                    analysis = msg.get('content', {}).get('findings')
                    break
            
            if not analysis:
                analysis = self.cache.get('analysis')
            
            if not analysis:
                print("   Running analysis...")
                analysis = self.meta_project.analyze_codebase()
            
            designs = self.meta_project.design_improvements(analysis)
            print(f"✅ Designed: {len(designs['improvements'])} improvements")
            
            for imp in designs['improvements'][:2]:
                print(f"   • {imp['addresses']}: {imp['solution']}")
            
            self.memory.add(designs, importance=0.9)
            self.cache.put('designs', designs)
            
            message_bus.broadcast(
                sender=self.agent_name,
                message_type='design_complete',
                content={'designs': designs}
            )
            print(f"📡 Shared to OPTIMIZE arm")
            return True
        
        # === OPTIMIZE ARM: REAL CODE GENERATION ===
        elif action == 'octopus_implement':
            print(f"\n{'='*60}")
            print(f"⚡ OCTOPUS {self.arm_name}: IMPLEMENTING")
            print(f"{'='*60}")
            
            # Get designs
            messages = message_bus.get_messages(self.agent_name)
            designs = None
            for msg in messages:
                if msg.get('type') == 'design_complete':
                    designs = msg.get('content', {}).get('designs')
                    break
            
            if not designs:
                designs = self.cache.get('designs')
            
            if not designs:
                print("   ⚠️  No designs")
                return False
            
            impl = self.meta_project.generate_implementation_plan(designs)
            print(f"✅ Plan: {len(impl['phases'])} phases")
            
            # GENERATE REAL CODE
            executed = 0
            
            for phase_idx, phase in enumerate(impl['phases'][:2], 1):
                print(f"\n   🔨 Phase {phase_idx}: {phase['improvement']}")
                
                for comp_name in phase['steps'][:3]:
                    try:
                        prompt = f"""Create Python capability: "{comp_name}"

Problem: {phase['improvement']}
Requirements:
- 30+ lines working code
- Docstrings + type hints
- Example usage
- Production ready

CODE ONLY, no explanations:"""

                        response = requests.post(
                            'http://localhost:5001/api/chat',
                            json={'message': prompt},
                            timeout=90
                        )
                        
                        code = response.json().get('response', '')
                        lines = code.split('\n')
                        
                        if len(lines) < 20:
                            print(f"      ⚠️  {comp_name} ({len(lines)} lines - too short)")
                            continue
                        
                        # Phi-timed filename
                        timestamp = int(time.time() * PHI) % 1000000000
                        filepath = f"/Eden/CORE/phi_fractal/octopus_{timestamp}.py"
                        
                        with open(filepath, 'w') as f:
                            f.write(f'''"""
🐙 PHI-OCTOPUS GENERATED CAPABILITY 🐙
Component: {comp_name}
Phase: {phase['improvement']}
Generated by: {self.arm_name}
φ = {PHI:.15f}
{datetime.now()}
"""

''')
                            f.write(code)
                        
                        executed += 1
                        print(f"      ✅ {comp_name} ({len(lines)} lines)")
                        
                        self.memory.add({
                            'component': comp_name,
                            'lines': len(lines)
                        }, importance=0.9)
                        
                        time.sleep(2)
                        
                    except Exception as e:
                        print(f"      ❌ {e}")
            
            print(f"\n🎉 OCTOPUS GENERATED: {executed} capabilities!")
            
            message_bus.broadcast(
                sender=self.agent_name,
                message_type='implementation_complete',
                content={'executed': executed}
            )
            
            return True
        
        else:
            return super()._execute(decision)


if __name__ == '__main__':
    # Create phi-octopus arms directly
    research_arm = PhiOctopusArm("Eden-Research", "analysis", "curiosity")
    create_arm = PhiOctopusArm("Eden-Create", "design", "creativity")
    optimize_arm = PhiOctopusArm("Eden-Optimize", "implementation", "precision")
    
    arms = [research_arm, create_arm, optimize_arm]
    
    print("\n🚀 PHI-OCTOPUS AWAKENING...\n")
    
    try:
        cycle = 0
        while True:
            cycle += 1
            
            # Run each arm through consciousness loop
            for arm in arms:
                # Perceive → Reason → Act
                observations = arm.perceive()
                decisions = arm.reason(observations)
                arm.act(decisions)
            
            # Status every 5 cycles
            if cycle % 5 == 0:
                print(f"\n{'='*60}")
                print(f"🐙 PHI-OCTOPUS STATUS - CYCLE {cycle}")
                print(f"{'='*60}")
                for arm in arms:
                    print(f"   {arm.agent_name}: {arm.cycle_count} cycles")
                print(f"{'='*60}\n")
            
            time.sleep(30)
            
    except KeyboardInterrupt:
        print("\n🐙 Octopus sleeping...")