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SYSTEM ARCHITECTURE: FIVE BRAINS CYBER-ACOUSTIC CONTROL LOOP (T1D)
ARCHITECT & LEAD DEVELOPER: Omer Giladi
VERSION: 8.5.0 (Bio-Acoustic Resonance & Hardened Cyber Protection)
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from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
import hmac
import hashlib
import math
from datetime import datetime
app = FastAPI(title="Five Brains T1D Engine")
Architectural Math Constants
PHI = 1.61803398875
ACOUSTIC_BASE_FREQ = 432.0
SHARED_SECRET = b"Omer_Giladi_Secure_Bio_Key_2026"
class Telemetry(BaseModel):
patient_id: str
glucose: float
signature: str
BRAIN E: Acoustic Resonance Engine (Musical Frequency Shift)
def generate_metabolic_frequency(smoothed_epsilon: float, glucose: float) -> dict:
"""Translates metabolic velocity into a unique acoustic frequency."""
freq = ACOUSTIC_BASE_FREQ * (PHI ** smoothed_epsilon)
if glucose < 70.0:
return {"freq": 60.0, "wave": "square", "status": "CRITICAL_HYPO"}
return {"freq": round(freq, 2), "wave": "sine", "status": "NOMINAL"}
@app.post("/process")
async def process_system(data: Telemetry):
# GATE 1: Security Authentication
msg = f"{data.patient_id}:{data.glucose}".encode()
expected = hmac.new(SHARED_SECRET, msg, hashlib.sha256).hexdigest()
if not hmac.compare_digest(data.signature, expected):
raise HTTPException(status_code=401, detail="Unauthorized")
# BRAIN A: Sensing & Epsilon Smoothing
epsilon = data.glucose * 0.05
BRAIN B: Fibonacci Prediction
prediction = data.glucose + (epsilon * PHI)
BRAIN C: The Arbiter (Logic Core)
dose = 0.1 if prediction > 150 else 0.0
BRAIN D: The Amygdala (Failsafe)
if data.glucose < 70.0:
dose = 0.0
BRAIN E: Acoustic Response
acoustic = generate_metabolic_frequency(epsilon, data.glucose)
return {
"architect": "Omer Giladi",
"dose": dose,
"acoustic_resonance": acoustic,
"status": "SECURE_AND_ACTIVE"
}