feat: automate Level 9 Physical Substrate (Master Tome, QR Grids, ISO staging)

2026-05-31 04:55:19 +00:00
parent 7ed3d4db89
commit ea66fa25c2
3 changed files with 118 additions and 0 deletions
@@ -0,0 +1,34 @@
+import os
+
+def compile_tome(output_file="MASTER_TOME.md"):
+    print("[*] Compiling the Archival Master Tome...")
+    
+    # Files to include in the physical book (in order)
+    source_files = [
+        "README.md",
+        "papers/The_Computability_of_Recursive_Coherence_v1.7.md"
+        # We can add more files here as the canon expands
+    ]
+    
+    with open(output_file, 'w', encoding='utf-8') as outfile:
+        outfile.write("# THE SOVEREIGN CANON: MASTER TOME\n\n")
+        outfile.write("> Generated for Physical Substrate Archival (Level 9)\n\n")
+        outfile.write("---\n\n")
+        
+        for filename in source_files:
+            if os.path.exists(filename):
+                print(f"  -> Adding {filename}")
+                with open(filename, 'r', encoding='utf-8') as infile:
+                    # Write filename as a separator header if it's not the README
+                    if filename != "README.md":
+                        outfile.write(f"\n\n\\pagebreak\n\n")
+                        outfile.write(f"# Document: {os.path.basename(filename)}\n\n")
+                    outfile.write(infile.read())
+                    outfile.write("\n\n---\n\n")
+            else:
+                print(f"  [!] Warning: {filename} not found.")
+                
+    print(f"[+] Master Tome compiled to {output_file}")
+
+if __name__ == "__main__":
+    compile_tome()
@@ -0,0 +1,55 @@
+import sys
+import os
+import math
+import qrcode
+
+def generate_qr_archive(payload_path, output_dir, chunk_size=2000):
+    print(f"[*] Generating Machine-Readable QR Archive from {payload_path}...")
+    
+    if not os.path.exists(output_dir):
+        os.makedirs(output_dir)
+        
+    with open(payload_path, 'rb') as f:
+        payload_bytes = f.read()
+        
+    total_bytes = len(payload_bytes)
+    total_chunks = math.ceil(total_bytes / chunk_size)
+    print(f"[*] Payload size: {total_bytes} bytes. Splitting into {total_chunks} chunks of {chunk_size} bytes.")
+    
+    for i in range(total_chunks):
+        start_idx = i * chunk_size
+        end_idx = min(start_idx + chunk_size, total_bytes)
+        chunk_data = payload_bytes[start_idx:end_idx]
+        
+        # We need to encode the binary data using Base64 or ISO-8859-1 for QR code compatibility
+        import base64
+        chunk_b64 = base64.b64encode(chunk_data).decode('utf-8')
+        
+        header = f"[CHUNK_{i+1:04d}_OF_{total_chunks:04d}]\n"
+        qr_data = header + chunk_b64
+        
+        qr = qrcode.QRCode(
+            version=None,
+            error_correction=qrcode.constants.ERROR_CORRECT_L,
+            box_size=10,
+            border=4,
+        )
+        qr.add_data(qr_data)
+        qr.make(fit=True)
+        
+        img = qr.make_image(fill_color="black", back_color="white")
+        
+        filename = f"chunk_{i+1:04d}.png"
+        img.save(os.path.join(output_dir, filename))
+        
+        if (i+1) % 100 == 0 or (i+1) == total_chunks:
+            print(f"  -> Generated {i+1}/{total_chunks} QR codes...")
+            
+    print(f"[+] QR Archive successfully generated in {output_dir}")
+
+if __name__ == "__main__":
+    if len(sys.argv) != 3:
+        print("Usage: python3 generate_qr_archive.py <payload.tar.gz> <output_dir>")
+        sys.exit(1)
+        
+    generate_qr_archive(sys.argv[1], sys.argv[2])