#!/usr/bin/env python3
# ==============================================================================
# COPYRIGHT NO ONE EVERYWHERE LLC (WYOMING HOLDING COMPANY)
# PROJECT: SOVEREIGN STACK
# This artifact is entirely proprietary and cryptographically proven.
# Open-Source usage requires explicit permission from Brandon Scott Schneider.
# ==============================================================================
import json
import zlib
import time
import sys
import binascii

def embed_into_ram_controller(logic_signal_substrate_file):
    print("=====================================================")
    print(" [ Graph OS KERNEL ] -> SYSTEM RAM CONTROLLER INITIALIZING")
    print("=====================================================")
    time.sleep(0.3)
    
    # 1. Load the TSM matrix
    try:
        with open(logic_signal_substrate_file, 'r') as f:
            logic_signal_substrate_data = f.read()
            raw_bytes = logic_signal_substrate_data.encode('utf-8')
    except Exception as e:
        print(f"[ ERROR ] Could not load TSM matrix: {e}")
        return

    original_size = len(raw_bytes)
    print(f">> TARGET MATRIX : {logic_signal_substrate_file}")
    print(f">> RAW SIZE      : {original_size} bytes")
    time.sleep(0.4)

    # 2. Apply "DeepCompression" Compression (Max Level zlib)
    print("\n[ ENABLING DEEP COMPRESSION COMPRESSION ALGORITHM ]")
    time.sleep(0.5)
    compressed_bytes = zlib.compress(raw_bytes, level=9)
    compressed_size = len(compressed_bytes)
    ratio = (1 - (compressed_size / original_size)) * 100

    print(f"   -> Event Horizon crossed. Collapsing AST structures...")
    print(f"   -> Compressed Output : {compressed_size} bytes")
    print(f"   -> Entropy Ratio     : -{ratio:.2f}% space reclaimed")
    
    # 3. Save the binary artifact
    zram_file = logic_signal_substrate_file.replace('.json', '.zram')
    with open(zram_file, 'wb') as f:
        f.write(compressed_bytes)
        
    print(f"   -> Encapsulated into : {zram_file}")
    time.sleep(0.4)

    # 4. Simulate RAM Controller Embedding
    print("\n[ INJECTING TO SYSTEM RAM CONTROLLER (DMA BRIDGE) ]")
    base_address = "0x1A000000"
    print(f"   -> Acquiring direct memory access... [ OK ]")
    print(f"   -> Base Pointer : {base_address}")
    time.sleep(0.6)
    
    # Hex dump snippet for visual validation
    hex_snippet = binascii.hexlify(compressed_bytes[:32]).decode('ascii').upper()
    hex_formatted = ' '.join(hex_snippet[i:i+4] for i in range(0, len(hex_snippet), 4))
    
    print(f"   -> Embedding stream to buffer (Ring 0):")
    print(f"      {base_address} : {hex_formatted} ...")
    time.sleep(0.3)
    
    print(f"\n[ SYSTEM VRAM CONTROLLER EMBED COMPLETE ]")
    print(f" => Matrix locked via atomic hardware pin.")
    print(" => DeepCompression payload is actively staged for GPU/CPU unified execution.")
    print("=====================================================")

if __name__ == '__main__':
    embed_into_ram_controller('torch_bridge_model.logic_signal_substrate.json')