# ===========================
# JARVIS FINAL MODULES (Khush)
# ===========================
# -------- CORE MODULE --------
# [Placeholder] Add your actual Core Module code here.
# -------- MEMORY MODULE --------
import sqlite3
import shutil
import os
DB_PATH = "jarvis_memory.db"
BACKUP_DIR = "backups"
BACKUP_FILE = f"{BACKUP_DIR}/jarvis_memory_backup.db"
# Initialize DB connection and cursor
conn = sqlite3.connect(DB_PATH, check_same_thread=False)
cursor = conn.cursor()
def init_db():
cursor.execute("""
CREATE TABLE IF NOT EXISTS learning (
id INTEGER PRIMARY KEY AUTOINCREMENT,
query TEXT UNIQUE,
correct_response TEXT
)
""")
conn.commit()
def save_learning(query, response):
cursor.execute("INSERT OR REPLACE INTO learning (query, correct_response)
VALUES (?, ?)", (query, response))
conn.commit()
def get_learned_response(query):
cursor.execute("SELECT correct_response FROM learning WHERE query = ?",
(query,))
result = cursor.fetchone()
return result[0] if result else None
def backup_memory():
os.makedirs(BACKUP_DIR, exist_ok=True)
try:
shutil.copy(DB_PATH, BACKUP_FILE)
print("Memory backup completed.")
except Exception as e:
print(f"Backup failed: {e}")
def restore_backup():
if os.path.exists(BACKUP_FILE):
shutil.copy(BACKUP_FILE, DB_PATH)
print("Memory successfully restored from backup.")
else:
print("Backup file not found. Cannot restore.")
# Initialize DB on import
init_db()
# -------- SECURITY MODULE --------
import os
import time
import queue
import json
import sounddevice as sd
import pyttsx3
import vosk
# Configuration
BACKUP_DIR = "backups"
TOKEN = "stark protocol 121110"
EXIT_TOKEN = "exit stark protocol 121110"
# Setup TTS and speech recognition
engine = pyttsx3.init()
engine.setProperty('rate', 180)
model = vosk.Model(lang="en-us")
q = queue.Queue()
def speak(text):
print(f"Jarvis: {text}")
engine.say(text)
engine.runAndWait()
def listen_voice(timeout=45):
start_time = time.time()
def callback(indata, frames, time_info, status):
q.put(bytes(indata))
with sd.RawInputStream(samplerate=16000, blocksize=8000, dtype='int16',
channels=1, callback=callback):
rec = vosk.KaldiRecognizer(model, 16000)
while time.time() - start_time < timeout:
data = q.get()
if rec.AcceptWaveform(data):
result = json.loads(rec.Result())
command = result.get("text", "").lower()
if command:
print(f"You: {command}")
return command
return ""
def backup_memory(memory_backup_func):
speak("Starting memory backup...")
memory_backup_func()
speak("Memory backup completed, Sir.")
def initiate_quarantine():
speak("No response received. System entering quarantine mode.")
open("quarantine.lock", "w").close()
while True:
speak("Awaiting exit token.")
response = listen_voice()
if EXIT_TOKEN in response:
speak("Exiting quarantine. Welcome back, Sir.")
os.remove("quarantine.lock")
break
def handle_flaw():
speak("Sir, a flaw has been detected. Shall I attempt to neutralize it?")
response = listen_voice()
if "yes" in response:
speak("Please confirm with security token.")
token = listen_voice()
if TOKEN in token:
speak("Flaw neutralized, Sir.")
else:
speak("Invalid token. Aborting neutralization.")
else:
speak("Acknowledged. Flaw report secured.")
def initiate_security_protocols(memory_backup_func):
speak("Running security protocols.")
backup_memory(memory_backup_func)
speak("A potential flaw has been found. Shall I initiate quarantine mode?")
response = listen_voice()
if "yes" in response:
initiate_quarantine()
elif not response:
initiate_quarantine()
else:
handle_flaw()
