Startonix / Modular-AI

Advanced AI Training and Building Repository
0 stars 0 forks source link

"Good Dog" Security System #180

Open Startonix opened 5 months ago

Startonix commented 5 months ago

import time import threading import uuid from datetime import datetime, timedelta import subprocess

class Sandbox: def init(self, id, threat_level, analysis_duration): self.id = id self.threat_level = threat_level self.analysis_duration = analysis_duration self.creation_time = datetime.now() self.should_run = True self.is_integrating = False

def isolate_and_analyze(self, code_to_analyze):
    try:
        print(f"[{datetime.now()}] Sandbox {self.id} analyzing code. Threat level: {self.threat_level}")
        result = subprocess.run(code_to_analyze, shell=True, timeout=self.analysis_duration)
        print(f"[{datetime.now()}] Sandbox {self.id} analysis complete. Result: {result}")

        if self.threat_level <= 2:
            self.start_integration(code_to_analyze)

    except Exception as e:
        print(f"[{datetime.now()}] Sandbox {self.id} encountered an error: {e}")
    finally:
        self.should_run = False

def start_integration(self, code_to_analyze):
    self.is_integrating = True
    try:
        print(f"[{datetime.now()}] Sandbox {self.id} integrating code...")
        # Placeholder for gradual integration logic
        result = subprocess.run(code_to_analyze, shell=True)
        print(f"[{datetime.now()}] Sandbox {self.id} integration complete. Result: {result}")
    except Exception as e:
        print(f"[{datetime.now()}] Sandbox {self.id} encountered an error during integration: {e}")
    finally:
        self.should_run = False
        self.is_integrating = False

class Watchdog: def init(self, id, threat_level, report_interval, max_lifetime): self.id = id self.threat_level = threat_level self.report_interval = report_interval self.max_lifetime = max_lifetime self.creation_time = datetime.now() self.should_run = True

def monitor(self):
    while self.should_run:
        self.report_status()
        self.check_threats()
        time.sleep(self.report_interval)
        if datetime.now() - self.creation_time > timedelta(seconds=self.max_lifetime):
            self.should_run = False

def report_status(self):
    print(f"[{datetime.now()}] Watchdog {self.id} reporting status. Threat level: {self.threat_level}")

def check_threats(self):
    suspicious_code = "echo 'Suspicious code running'"
    sandbox = Sandbox(uuid.uuid4(), self.threat_level, analysis_duration=30)
    threading.Thread(target=sandbox.isolate_and_analyze, args=(suspicious_code,)).start()

def stop(self):
    self.should_run = False

class ReplicationManager: def init(self, base_threat_level=1): self.watchdogs = [] self.base_threat_level = base_threat_level

def create_watchdog(self, threat_level, report_interval, max_lifetime):
    watchdog_id = uuid.uuid4()
    watchdog = Watchdog(watchdog_id, threat_level, report_interval, max_lifetime)
    self.watchdogs.append(watchdog)
    threading.Thread(target=watchdog.monitor).start()
    print(f"[{datetime.now()}] Created watchdog {watchdog_id} with threat level {threat_level}.")

def manage_replication(self, current_threat_level):
    num_copies = current_threat_level - len(self.watchdogs)
    for _ in range(num_copies):
        self.create_watchdog(current_threat_level, report_interval=10, max_lifetime=60)

def stop_all_watchdogs(self):
    for watchdog in self.watchdogs:
        watchdog.stop()

Example usage

if name == "main": replication_manager = ReplicationManager()

replication_manager.create_watchdog(threat_level=1, report_interval=10, max_lifetime=60)

time.sleep(20)
replication_manager.manage_replication(current_threat_level=3)

time.sleep(60)

replication_manager.stop_all_watchdogs()