#!/usr/bin/env python3 """ Utility: oracle.py ------------------ The Sovereign Oracle: Informatic Retrieval & Inference Engine. """ import argparse import hashlib import json import time import struct from bt20_fpga_bridge import MassArchivist class SovereignOracle: def __init__(self, db_path="/home/allaun/.tardy_mmr.db"): self.archivist = MassArchivist(db_path=db_path) self.num_neurons = 20 def seed_from_text(self, text): """ Hash keyword to a specific neuron index. """ h = hashlib.sha256(text.encode()).hexdigest() idx = int(h[:2], 16) % self.num_neurons return idx def query(self, text): print(f"[>] Querying Sovereign Oracle: '{text}'...") neuron_id = self.seed_from_text(text) # 1. Seeding activation = 0xFFFF # MAX activation for the seed print(f"[*] Seeding Manifold -> Neuron {neuron_id}") if self.archivist.ser: self.archivist.ser.write(struct.pack(">BBH", 0x01, neuron_id, activation)) # 2. Resonance (Trigger 100 epochs) print("[*] Initiating Informatic Resonance (100 Epochs)...") for _ in range(100): if self.archivist.ser: self.archivist.ser.write(bytes([0x03])) time.sleep(0.001) # 3. Retrieval (Poll Telemetry/Memory) phi = self.archivist.poll_telemetry() print(f"[+] Resonance Stabilized at Φss: {phi:.4f}") # 4. MMR Lookup return self.lookup_promotion(neuron_id) def lookup_promotion(self, neuron_id): import sqlite3 conn = sqlite3.connect(self.archivist.db_path) cur = conn.cursor() cur.execute("SELECT payload FROM mmr WHERE leaf_type='AXIOM' AND payload LIKE ?", (f'%"neuron": {neuron_id}%',)) match = cur.fetchone() conn.close() if match: return json.loads(match[0]) return None if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("query", type=str, help="Search term for the Oracle") args = parser.parse_args() oracle = SovereignOracle() result = oracle.query(args.query) if result: print("\n=== ORACLE RESPONSE: PROMOTED AXIOM ===") print(json.dumps(result, indent=4)) else: print("\n[!] ORACLE SILENT: No promoted axiom matches this informatic seed.")