vector_check.py

import json
import numpy as np

def mock_vector_test():
    print("--- ?? NEXUS VECTOR INTEGRITY AUDIT (MANUAL) ---")
    
    # Test cases for semantic similarity
    doc1 = "Suspicious C2 beaconing detected on port 4444"
    doc2 = "EDR Alert: Connection to malicious infrastructure"
    doc3 = "Normal web traffic on port 80"
    
    # In a real environment, we use TF-IDF. Here we validate the normalization logic.
    print("[*] Verifying unit normalization requirement for cosine similarity...")
    dummy_vec = np.array([0.1, 0.2, 0.3, 0.4])
    norm = np.linalg.norm(dummy_vec)
    normalized = dummy_vec / norm
    final_norm = np.linalg.norm(normalized)
    
    print(f"    Initial Norm: {norm:.4f}")
    print(f"    Final Norm: {final_norm:.4f}")
    
    if abs(final_norm - 1.0) < 1e-6:
        print("[SUCCESS] Mathematical normalization is consistent.")
    else:
        print("[FAILURE] Precision error in normalization.")

if __name__ == "__main__":
    mock_vector_test()