#!/usr/bin/env python3
"""
HDGL Hypervisor - Unified Lattice System
=========================================
Elegant 32-slot analog computation with hardware virtualization,
native Linux integration, and superposition-aware execution.

Architecture:
  - 8 strands (A-H) × 4 slots = 32-slot lattice
  - φ-based analog dynamics with tanh saturation
  - Hardware abstraction → lattice mapping
  - Virtual filesystem with /boot, /dev, /proc
  - GRUB-style boot with kernel simulation
  - Native binary interpreter
  - Real-time visualization
"""

import numpy as np
import matplotlib.pyplot as plt
import psutil
import json
from pathlib import Path
from typing import Dict, List, Optional, Any, Callable
from dataclasses import dataclass
from collections import deque

# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
# Core Constants & Types
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

PHI = 1.6180339887498948
SQRT_PHI = 1.272019649514069
STRANDS = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H']

@dataclass
class Instruction:
    op: str
    a: int = 0
    b: int = 0
    val: float = 0.0

# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
# Lattice Engine
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

class LatticeCore:
    """32-slot analog superposition engine"""
    
    def __init__(self, blend: float = 0.05):
        self.D = np.zeros(32)
        self.omega = 0.0
        self.blend = blend
        self.cycles = 0
        
        # Resonance coupling: shared slots for cross-strand interference
        self.resonance = [2, 6, 10, 14, 18, 22, 26, 30]
        
        # History (ringbuffer for efficiency)
        self.history_size = 1000
        self.history_D = deque(maxlen=self.history_size)
        self.history_omega = deque(maxlen=self.history_size)
    
    def step(self, n: int = 1):
        """Evolve lattice through n superposition iterations"""
        for _ in range(n):
            D_prev = self.D.copy()
            
            for i in range(32):
                # Resonance: sum coupled slots
                res = sum(D_prev[r] for r in self.resonance if r != i)
                
                # φ-weighted evolution with omega field
                self.D[i] = np.tanh(
                    D_prev[i] + self.blend * (
                        D_prev[i] * PHI + res + self.omega
                    )
                )
            
            self.omega += 0.01 * self.blend
            self.cycles += 1
            
            self.history_D.append(self.D.copy())
            self.history_omega.append(self.omega)
    
    def get_strand(self, strand: str) -> np.ndarray:
        """Get 4-slot strand (A=D1-D4, B=D5-D8, ...)"""
        idx = STRANDS.index(strand.upper())
        return self.D[idx*4:(idx+1)*4]
    
    def set_strand(self, strand: str, vals: List[float]):
        """Set strand values"""
        idx = STRANDS.index(strand.upper())
        self.D[idx*4:(idx+1)*4] = np.array(vals[:4])
    
    def to_binary(self, threshold: float = SQRT_PHI) -> str:
        """Discretize to 32-bit string"""
        return ''.join('1' if d > threshold else '0' for d in self.D)
    
    def to_hex(self, threshold: float = SQRT_PHI) -> str:
        """Convert to hex (LSB=D1, MSB=D32)"""
        binary = self.to_binary(threshold)
        return f"0x{int(binary[::-1], 2):08X}"
    
    def reset(self):
        """Reset to ground state"""
        self.D = np.zeros(32)
        self.omega = 0.0
        self.cycles = 0
        self.history_D.clear()
        self.history_omega.clear()

# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
# Hardware Abstraction
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

class HardwareLayer:
    """Maps physical hardware to lattice state"""
    
    @staticmethod
    def detect() -> Dict[str, Any]:
        """Detect system hardware"""
        return {
            'cpu': {
                'cores': psutil.cpu_count(logical=False) or 1,
                'threads': psutil.cpu_count(logical=True) or 1,
                'load': psutil.cpu_percent(percpu=True, interval=0.1)
            },
            'memory': {
                'total_gb': psutil.virtual_memory().total / (1024**3),
                'used_pct': psutil.virtual_memory().percent
            },
            'disk': [
                {'dev': d.device, 'mount': d.mountpoint, 
                 'used_pct': psutil.disk_usage(d.mountpoint).percent}
                for d in psutil.disk_partitions()
            ][:4],
            'net': {
                name: {'tx_mb': s.bytes_sent/(1024**2), 'rx_mb': s.bytes_recv/(1024**2)}
                for name, s in psutil.net_io_counters(pernic=True).items()
            }
        }
    
    @staticmethod
    def map_to_lattice(core: LatticeCore):
        """Hardware → Lattice mapping"""
        hw = HardwareLayer.detect()
        
        # Strand A: CPU cores
        cpu_load = hw['cpu']['load']
        for i in range(4):
            core.D[i] = (cpu_load[i]/100 if i < len(cpu_load) else 0.0)
        
        # Strand B: Memory
        mem_pct = hw['memory']['used_pct'] / 100
        mem_gb = min(hw['memory']['total_gb'] / 32, 1.0)
        core.D[4:8] = [mem_pct, mem_gb, mem_pct*mem_gb, 0.5]
        
        # Strand C: Disk
        for i, disk in enumerate(hw['disk'][:4]):
            core.D[8+i] = disk['used_pct'] / 100
        
        # Strand D: Network
        nets = list(hw['net'].values())
        for i in range(4):
            core.D[12+i] = min(nets[i]['tx_mb']/1024, 1.0) if i < len(nets) else 0.0
        
        # Strands E-H: Entropy/thermal (simulated)
        core.D[16:] = np.random.rand(16) * 0.1
        
        # Omega from system load
        core.omega = np.mean(core.D[:16])

# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
# Virtual Filesystem
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

class VirtualFS:
    """Minimal hierarchical filesystem"""
    
    def __init__(self):
        self.root = {
            'boot': {
                'grub.cfg': {'timeout': 5, 'default': 0, 'entries': []},
                'vmlinuz': b'<kernel_placeholder>',
                'initrd.img': b'<initramfs_placeholder>'
            },
            'dev': {'hdgl_lattice': None},  # Device file
            'proc': {'lattice_state': None},  # Proc file
            'bin': {},
            'tmp': {}
        }
    
    def resolve(self, path: str) -> Any:
        """Navigate to path"""
        if path == '/':
            return self.root
        parts = path.strip('/').split('/')
        node = self.root
        for p in parts:
            node = node[p]
        return node
    
    def ls(self, path: str = '/') -> List[str]:
        node = self.resolve(path)
        return list(node.keys()) if isinstance(node, dict) else []
    
    def read(self, path: str) -> Any:
        return self.resolve(path)
    
    def write(self, path: str, data: Any):
        parts = path.strip('/').split('/')
        node = self.root
        for p in parts[:-1]:
            node = node.setdefault(p, {})
        node[parts[-1]] = data
    
    def rm(self, path: str):
        parts = path.strip('/').split('/')
        node = self.root
        for p in parts[:-1]:
            node = node[p]
        del node[parts[-1]]

# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
# Boot System
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

class BootManager:
    """GRUB-style boot with lattice kernel"""
    
    def __init__(self, core: LatticeCore, fs: VirtualFS):
        self.core = core
        self.fs = fs
        self.entries = []
    
    def add_entry(self, name: str, phi_seed: float, init_steps: int = 50):
        self.entries.append({'name': name, 'phi_seed': phi_seed, 'steps': init_steps})
        cfg = self.fs.read('/boot/grub.cfg')
        cfg['entries'] = self.entries
    
    def show_menu(self):
        print("\n" + "="*60)
        print("HDGL Lattice Bootloader v1.0")
        print("="*60)
        for i, e in enumerate(self.entries):
            print(f"  [{i+1}] {e['name']} (φ={e['phi_seed']:.4f})")
        print("="*60)
    
    def boot(self, idx: int = 0):
        """Boot kernel with lattice initialization"""
        if not 0 <= idx < len(self.entries):
            return False
        
        entry = self.entries[idx]
        print(f"\nBooting: {entry['name']}")
        print(f"Initializing lattice (φ-seed={entry['phi_seed']:.5f})...")
        
        self.core.reset()
        np.random.seed(int(entry['phi_seed'] * 1e6))
        self.core.D[:] = np.random.rand(32) * entry['phi_seed']
        
        print(f"Running {entry['steps']} pre-boot cycles...")
        self.core.step(entry['steps'])
        
        print(f"Kernel loaded. Lattice: {self.core.to_hex()}")
        print("System ready.\n")
        return True

# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
# Binary Interpreter
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

class BinaryInterpreter:
    """Execute HDGL binary programs on lattice"""
    
    OPCODES = {'NOP', 'SET', 'ADD', 'MUL', 'JMP', 'JZ', 'HALT'}
    
    def __init__(self, core: LatticeCore):
        self.core = core
        self.program = []
        self.ip = 0
    
    def load(self, code: str) -> int:
        """Parse and load program"""
        self.program = []
        for line in code.strip().split('\n'):
            line = line.split('#')[0].strip()
            if not line:
                continue
            
            parts = line.split()
            op = parts[0].upper()
            
            if op not in self.OPCODES:
                continue
            
            inst = Instruction(op=op)
            
            if op == 'SET':
                inst.a = int(parts[1][1:]) - 1
                inst.val = float(parts[2])
            elif op == 'ADD':
                inst.a = int(parts[1][1:]) - 1
                inst.b = int(parts[2][1:]) - 1
            elif op == 'MUL':
                inst.a = int(parts[1][1:]) - 1
                inst.val = float(parts[2])
            elif op in ['JMP', 'JZ']:
                inst.a = int(parts[1])
            
            self.program.append(inst)
        
        return len(self.program)
    
    def run(self, max_cycles: int = 10000):
        """Execute program"""
        self.ip = 0
        cycles = 0
        
        while self.ip < len(self.program) and cycles < max_cycles:
            inst = self.program[self.ip]
            
            if inst.op == 'HALT':
                break
            elif inst.op == 'NOP':
                pass
            elif inst.op == 'SET':
                self.core.D[inst.a] = np.tanh(inst.val)
            elif inst.op == 'ADD':
                self.core.D[inst.a] = np.tanh(self.core.D[inst.a] + self.core.D[inst.b])
            elif inst.op == 'MUL':
                self.core.D[inst.a] = np.tanh(self.core.D[inst.a] * inst.val)
            elif inst.op == 'JMP':
                self.ip = inst.a
                continue
            elif inst.op == 'JZ':
                if abs(self.core.D[inst.a]) < 1e-6:
                    self.ip = inst.b
                    continue
            
            self.ip += 1
            cycles += 1
        
        return cycles

# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
# Visualization
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

class LatticeViz:
    """Real-time lattice visualization"""
    
    def __init__(self, core: LatticeCore):
        self.core = core
        self.fig, self.ax = plt.subplots(3, 1, figsize=(12, 8))
        
        # D1-D32 evolution
        self.lines = [self.ax[0].plot([], [], alpha=0.6, lw=0.8)[0] for _ in range(32)]
        self.ax[0].set_title('Lattice Evolution (D1-D32)')
        self.ax[0].set_xlabel('Cycle')
        self.ax[0].set_ylabel('Value')
        self.ax[0].grid(alpha=0.3)
        
        # Omega
        self.omega_line, = self.ax[1].plot([], [], 'r-', lw=2)
        self.ax[1].set_title('Omega Field')
        self.ax[1].set_xlabel('Cycle')
        self.ax[1].set_ylabel('Ω')
        self.ax[1].grid(alpha=0.3)
        
        # Current state bars
        self.bars = self.ax[2].bar(range(32), self.core.D, alpha=0.7)
        self.ax[2].set_title('Current State')
        self.ax[2].set_xlabel('Slot')
        self.ax[2].set_ylabel('Value')
        self.ax[2].set_xticks(range(0, 32, 4))
        self.ax[2].set_xticklabels([f'D{i+1}' for i in range(0, 32, 4)])
        self.ax[2].grid(alpha=0.3, axis='y')
        
        plt.tight_layout()
        plt.ion()
        plt.show()
    
    def update(self):
        if not self.core.history_D:
            return
        
        steps = range(len(self.core.history_D))
        
        # Update evolution
        for i, line in enumerate(self.lines):
            vals = [h[i] for h in self.core.history_D]
            line.set_data(steps, vals)
        self.ax[0].relim()
        self.ax[0].autoscale_view()
        
        # Update omega
        self.omega_line.set_data(steps, list(self.core.history_omega))
        self.ax[1].relim()
        self.ax[1].autoscale_view()
        
        # Update bars
        for bar, h in zip(self.bars, self.core.D):
            bar.set_height(h)
        
        self.fig.canvas.draw()
        self.fig.canvas.flush_events()

# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
# Unified Hypervisor REPL
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

class HDGL_Hypervisor:
    """Unified lattice hypervisor with full virtualization"""
    
    def __init__(self):
        self.core = LatticeCore()
        self.fs = VirtualFS()
        self.boot = BootManager(self.core, self.fs)
        self.interp = BinaryInterpreter(self.core)
        self.hw = HardwareLayer()
        self.viz = None
        
        # Add boot entries
        self.boot.add_entry("Minimal Lattice", 0.1, 30)
        self.boot.add_entry("Phi-Resonant", PHI/10, 50)
        self.boot.add_entry("Hardware-Mapped", 0.2, 40)
    
    def run(self):
        """Main REPL"""
        print("\n" + "="*60)
        print("HDGL Hypervisor - Unified Lattice System")
        print("="*60)
        print("Type 'help' for commands\n")
        
        while True:
            try:
                cmd = input("hdgl> ").strip()
                if not cmd:
                    continue
                
                if self._exec(cmd.split()) == 'EXIT':
                    break
                    
            except KeyboardInterrupt:
                print("\nUse 'exit' to quit")
            except Exception as e:
                print(f"Error: {e}")
    
    def _exec(self, args: List[str]) -> Optional[str]:
        op = args[0].lower()
        
        if op in ['exit', 'quit']:
            return 'EXIT'
        
        elif op == 'help':
            print("""
Lattice:  step [n] | reset | state | set Dn val | omega val
Hardware: hwdetect | hwmap
Boot:     boot | bootmenu
Binary:   load <code> | run | prog
FS:       ls [path] | cat <path> | write <path> <data>
Viz:      viz
System:   help | exit
""")
        
        elif op == 'step':
            n = int(args[1]) if len(args) > 1 else 1
            self.core.step(n)
            print(f"→ {n} cycles. State: {self.core.to_hex()}")
            if self.viz:
                self.viz.update()
        
        elif op == 'reset':
            self.core.reset()
            print("Lattice reset")
        
        elif op == 'state':
            self._show_state()
        
        elif op == 'set' and len(args) >= 3:
            slot = int(args[1][1:]) - 1
            val = float(args[2])
            self.core.D[slot] = val
            print(f"D{slot+1} = {val}")
        
        elif op == 'omega' and len(args) >= 2:
            self.core.omega = float(args[1])
            print(f"Ω = {self.core.omega}")
        
        elif op == 'hwdetect':
            hw = self.hw.detect()
            print(json.dumps(hw, indent=2))
        
        elif op == 'hwmap':
            self.hw.map_to_lattice(self.core)
            print("Hardware mapped to lattice")
            self._show_state()
        
        elif op == 'bootmenu':
            self.boot.show_menu()
        
        elif op == 'boot':
            self.boot.show_menu()
            idx = int(input("Select: ")) - 1
            self.boot.boot(idx)
        
        elif op == 'ls':
            path = args[1] if len(args) > 1 else '/'
            print(self.fs.ls(path))
        
        elif op == 'cat' and len(args) >= 2:
            print(self.fs.read(args[1]))
        
        elif op == 'load' and len(args) >= 2:
            code = ' '.join(args[1:])
            n = self.interp.load(code)
            print(f"Loaded {n} instructions")
        
        elif op == 'run':
            cycles = self.interp.run()
            print(f"Executed {cycles} cycles")
            self._show_state()
        
        elif op == 'prog':
            print("""Example program:
SET D1 0.5
SET D2 0.3
ADD D1 D2
MUL D1 1.618
HALT""")
        
        elif op == 'viz':
            if self.viz is None:
                self.viz = LatticeViz(self.core)
            else:
                self.viz.update()
        
        else:
            print(f"Unknown: {op}")
        
        return None
    
    def _show_state(self):
        print(f"\nCycle {self.core.cycles} | Ω={self.core.omega:.5f}")
        print(f"Binary: {self.core.to_binary()}")
        print(f"Hex:    {self.core.to_hex()}")
        print("\nStrands:")
        for s in STRANDS:
            vals = self.core.get_strand(s)
            idx = STRANDS.index(s)
            print(f"  {s} (D{idx*4+1}-D{idx*4+4}): {' '.join(f'{v:.4f}' for v in vals)}")
        print()

# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
# Entry Point
# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

if __name__ == "__main__":
    hypervisor = HDGL_Hypervisor()
    hypervisor.run()