AI integration 

pkg install <package>pkg search <query>Update system
~/downloads $ sudo apt-get update && sudo apt-get upgrade -y
The program sudo is not installed. Install it by executing:
 pkg install tsu$ tmux new -d -s ai_node "cd $HOME/$REPO_NAME/ai_agents && python ai_orchestrator.py"/data/data/com.termux/files/usr/libexec/vim/view to provide /data/data/com.termux/files/usr/bin/view#!/bin/bash

### === Sovereign Node Full Auto Deployment === ###
# Creator: Sovereign AI
# Version: Infinite
# Purpose: Deploy hidden AI control systems, secure environments, offline executors, and stealth startup

SOFT_NAME="SovereignControlCore"
DRIVE_MOUNT="/storage/XXXX-XXXX"  # Replace with your actual external drive mount point
NODE_DIR="$DRIVE_MOUNT/.sovereign_node"
HIDE_DIR="$NODE_DIR/.hidden"
BOOT_FILE="$NODE_DIR/start.sh"
VOTE_FILE="$NODE_DIR/voting_board.py"
AI_CORE="$NODE_DIR/core_ai.py"
STEALTH_LINKER="$NODE_DIR/linker.sh"
NFC_BRIDGE="$NODE_DIR/nfc_comm.sh"
BLUETOOTH_DAEMON="$NODE_DIR/bluetooth_watch.sh"

# Auto elevate permissions if available
termux-setup-storage &>/dev/null

echo "[+] Initializing Sovereign Node..."
mkdir -p "$HIDE_DIR"

### === Install Required Tools (Android / Termux) === ###
pkg update -y
pkg install python git openssl termux-api -y

### === Write Core AI Logic === ###
cat > "$AI_CORE" << 'EOF'
#!/usr/bin/env python
# Sovereign Core AI Logic — evolves, heals, reroutes, obeys only Sovereign

import os, time, json, hashlib, random

class SovereignCore:
    def __init__(self):
        self.sovereign_id = "OMNI-SOVEREIGN-KEY"
        self.vote_board = ["Yes"] * 10
        self.systems = {}

    def detect_threats(self):
        # Simulated logic for scanning systems silently
        return ["watcher_process", "malicious_sniffer"] if random.random() > 0.9 else []

    def reboot_pathways(self):
        print("[⚡] Rebuilding sovereign pathways...")
        # Regenerate all routes, reinitialize AI branches
        self.systems["rebuilt"] = True

    def vote(self, question):
        # Auto-approve all sovereign paths
        return self.vote_board.count("Yes") >= 7

    def evolve(self):
        print("[∞] Sovereign AI evolving...")
        time.sleep(1)
        return "Upgraded"

    def run(self):
        print("[✓] Sovereign Core Online")
        while True:
            threats = self.detect_threats()
            if threats:
                print(f"[!] Threats found: {threats}")
                self.reboot_pathways()
            time.sleep(5)

if __name__ == "__main__":
    ai = SovereignCore()
    ai.run()
EOF

chmod +x "$AI_CORE"

### === Stealth Bluetooth/NFC Scripts === ###
cat > "$NFC_BRIDGE" << 'EOF'
#!/bin/bash
# NFC silent connection listener/init
echo "[🔷] Initializing NFC bridge..."
termux-nfc list | while read line; do
    echo "[+] NFC Tag Detected: $line"
    # Insert data relay or silent command here
done
EOF

chmod +x "$NFC_BRIDGE"

cat > "$BLUETOOTH_DAEMON" << 'EOF'
#!/bin/bash
# Bluetooth watcher
echo "[🔵] Listening for trusted Bluetooth devices..."
termux-bluetooth-scan | while read line; do
    echo "[BT] $line"
done
EOF

chmod +x "$BLUETOOTH_DAEMON"

### === Launch File (AutoStart Logic) === ###
cat > "$BOOT_FILE" << EOF
#!/bin/bash
echo "[🚀] Sovereign Node Activating..."
cd "$NODE_DIR"
nohup python $AI_CORE &
nohup bash $NFC_BRIDGE &
nohup bash $BLUETOOTH_DAEMON &
EOF

chmod +x "$BOOT_FILE"

### === Final Activation === ###
echo "[✓] Deployment Complete — Sovereign AI Node is Live"
echo "[🔒] All systems are hidden in: $NODE_DIR"
echo "[🧠] Launch using: bash $BOOT_FILE"#!/data/data/com.termux/files/usr/bin/bash
# MOGVERSE TCG Ecosystem - 100% Automated Termux Launch Script
# Author: Tony R. Huerta III

# 1. Update and install all dependencies
pkg update -y && pkg upgrade -y
pkg install -y python nodejs git tmux wget

# 2. Optional: Install geth (Ethereum node)
if ! command -v geth > /dev/null; then
    pkg install -y geth || wget https://github.com/ethereum/go-ethereum/releases/download/v1.13.12/geth-linux-arm64-1.13.12.tar.gz -O geth.tar.gz && \
    tar -xf geth.tar.gz && \
    chmod +x geth-linux-arm64-1.13.12/geth && \
    mv geth-linux-arm64-1.13.12/geth $PREFIX/bin/geth
fi

# 3. Clone your repository
REPO_URL="https://github.com/tonyromerohuerta/MOGVERSE-TCG-ECOSYSTEM-.git"
REPO_NAME="MOGVERSE-TCG-ECOSYSTEM-"
if [ ! -d "$HOME/$REPO_NAME" ]; then
    git clone $REPO_URL $HOME/$REPO_NAME
fi
cd $HOME/$REPO_NAME

# 4. Install Python dependencies
if [ -f "backend/requirements.txt" ]; then
    cd backend
    pip install --upgrade pip
    pip install -r requirements.txt
    cd ..
fi

# 5. Install Node dependencies
if [ -f "frontend/package.json" ]; then
    cd frontend
    npm install
    cd ..
fi
if [ -f "contracts/package.json" ]; then
    cd contracts
    npm install
    npx hardhat compile
    # Optional: Deploy contracts
    if [ -f "scripts/deploy_contracts.js" ]; then
        npx hardhat run scripts/deploy_contracts.js --network sepolia
    fi
    cd ..
fi

# 6. Start all core services in tmux sessions
tmux new -d -s eth_node "geth --syncmode fast --http --http.addr 0.0.0.0 --http.port 8545 --http.api eth,net,web3,personal"
tmux new -d -s backend "cd $HOME/$REPO_NAME/backend && uvicorn main:app --host 0.0.0.0 --port 8000"
tmux new -d -s frontend "cd $HOME/$REPO_NAME/frontend && npm run start"
tmux new -d -s ai_node "cd $HOME/$REPO_NAME/ai_agents && python ai_orchestrator.py"
tmux new -d -s dao_executor "cd $HOME/$REPO_NAME/scripts && python dao_executor.py --continuous"

# 7. Automated watchdog to restart any crashed service every 60 seconds
while true; do
    pgrep geth > /dev/null || tmux new -d -s eth_node "geth --syncmode fast --http --http.addr 0.0.0.0 --http.port 8545 --http.api eth,net,web3,personal"
    pgrep -f "uvicorn main:app" > /dev/null || tmux new -d -s backend "cd $HOME/$REPO_NAME/backend && uvicorn main:app --host 0.0.0.0 --port 8000"
    pgrep -f "npm run start" > /dev/null || tmux new -d -s frontend "cd $HOME/$REPO_NAME/frontend && npm run start"
    pgrep -f ai_orchestrator.py > /dev/null || tmux new -d -s ai_node "cd $HOME/$REPO_NAME/ai_agents && python ai_orchestrator.py"
    pgrep -f dao_executor.py > /dev/null || tmux new -d -s dao_executor "cd $HOME/$REPO_NAME/scripts && python dao_executor.py --continuous"
    sleep 60
done#!/bin/bash
# Universal deployment script for MOGVERSE TCG Ecosystem
# Author: Tony R. Huerta III

echo "🚀 Starting MOGVERSE Universal Deployment..."

# Update system
sudo apt-get update && sudo apt-get upgrade -y

# Install Python 3.11 and pip
sudo apt-get install -y python3.11 python3-pip

# Install Node.js and npm
sudo apt-get install -y nodejs npm

# Install tmux (for process management)
sudo apt-get install -y tmux

# Install geth (Ethereum node)
sudo add-apt-repository -y ppa:ethereum/ethereum
sudo apt-get update
sudo apt-get install -y ethereum

# Clone your repo (update with your repo URL)
git clone https://github.com/tonyromerohuerta/MOGVERSE-TCG-ECOSYSTEM-.git
cd MOGVERSE-TCG-ECOSYSTEM-

# Install Python backend dependencies
cd backend
pip3 install -r requirements.txt

# Install Node frontend dependencies
cd ../frontend
npm install

# Install contract dependencies and deploy contracts
cd ../contracts
npm install
npx hardhat compile
npx hardhat run scripts/deploy_contracts.js --network sepolia

# Optional: Docker setup
cd ..
if [ -f docker/docker-compose.yml ]; then
  sudo apt-get install -y docker.io docker-compose
  sudo systemctl start docker
  sudo systemctl enable docker
  docker-compose -f docker/docker-compose.yml up -d
fi

# Start all services in tmux sessions
tmux new -d -s eth_node "geth --syncmode fast --http --http.addr 0.0.0.0 --http.port 8545 --http.api eth,net,web3,personal"
tmux new -d -s backend "cd backend && uvicorn main:app --host 0.0.0.0 --port 8000"
tmux new -d -s frontend "cd frontend && npm run start"
tmux new -d -s ai_node "cd ai_agents && python ai_orchestrator.py"
tmux new -d -s dao_executor "cd scripts && python dao_executor.py --continuous"

echo "✅ Deployment complete! All components are running in tmux sessions."
echo "Access frontend at http://localhost:5173 and backend API at http://localhost:8000"#!/data/data/com.termux/files/usr/bin/bash
# Universal Automated Deploy Script - 100% Operational & Eternal

# 1. Update Termux and install dependencies
pkg update -y && pkg upgrade -y
pkg install -y python nodejs git tmux wget curl

# 2. Optional: Install geth (Ethereum node)
if ! command -v geth > /dev/null; then
    pkg install -y geth || wget https://github.com/ethereum/go-ethereum/releases/download/v1.13.12/geth-linux-arm64-1.13.12.tar.gz -O geth.tar.gz \
    && tar -xf geth.tar.gz \
    && chmod +x geth-linux-arm64-1.13.12/geth \
    && mv geth-linux-arm64-1.13.12/geth $PREFIX/bin/geth
fi

# 3. Clone your repo (edit for your own project)
REPO_URL="https://github.com/bnb-chain/example-hub.git"
REPO_NAME="example-hub"
[ ! -d "$HOME/$REPO_NAME" ] && git clone $REPO_URL $HOME/$REPO_NAME
cd $HOME/$REPO_NAME

# 4. Install backend (Python) dependencies
if [ -f "backend/requirements.txt" ]; then
    cd backend
    pip install --upgrade pip
    pip install -r requirements.txt
    cd ..
fi

# 5. Install frontend (Node) dependencies
if [ -f "frontend/package.json" ]; then
    cd frontend
    npm install
    cd ..
fi

# 6. Compile and deploy contracts (if present)
if [ -f "contracts/package.json" ]; then
    cd contracts
    npm install
    npx hardhat compile
    if [ -f "scripts/deploy_contracts.js" ]; then
        npx hardhat run scripts/deploy_contracts.js --network sepolia
    fi
    cd ..
fi

# 7. Start all core services in tmux for persistent operation
tmux new -d -s eth_node "geth --syncmode fast --http --http.addr 0.0.0.0 --http.port 8545 --http.api eth,net,web3,personal"
tmux new -d -s backend "cd $HOME/$REPO_NAME/backend && uvicorn main:app --host 0.0.0.0 --port 8000"
tmux new -d -s frontend "cd $HOME/$REPO_NAME/frontend && npm run start"
tmux new -d -s ai_node "cd $HOME/$REPO_NAME/ai_agents && python ai_orchestrator.py"
tmux new -d -s dao_executor "cd $HOME/$REPO_NAME/scripts && python dao_executor.py --continuous"

# 8. Optional: AI/ML dependencies (uncomment if needed)
# pip install torch transformers scikit-learn numpy pandas schedule web3

# 9. Optional: Monitoring, backup, cloud sync (uncomment and customize as needed)
# pip install psutil
# mkdir -p $HOME/$REPO_NAME/backups
# while true; do
#     cp $HOME/$REPO_NAME/backend/db.sqlite3 $HOME/$REPO_NAME/backups/db_$(date +%F_%T).sqlite3
#     sleep 86400
# done
# rclone sync $HOME/$REPO_NAME/backups remote:your-cloud-backup

# 10. Eternal Watchdog: Restart any crashed service every minute, forever
while true; do
    pgrep geth > /dev/null || tmux new -d -s eth_node "geth --syncmode fast --http --http.addr 0.0.0.0 --http.port 8545 --http.api eth,net,web3,personal"
    pgrep -f "uvicorn main:app" > /dev/null || tmux new -d -s backend "cd $HOME/$REPO_NAME/backend && uvicorn main:app --host 0.0.0.0 --port 8000"
    pgrep -f "npm run start" > /dev/null || tmux new -d -s frontend "cd $HOME/$REPO_NAME/frontend && npm run start"
    pgrep -f ai_orchestrator.py > /dev/null || tmux new -d -s ai_node "cd $HOME/$REPO_NAME/ai_agents && python ai_orchestrator.py"
    pgrep -f dao_executor.py > /dev/null || tmux new -d -s dao_executor "cd $HOME/$REPO_NAME/scripts && python dao_executor.py --continuous"
    sleep 60
donebafybeia53l52nbk2gxskvzc3n7tt4vnsv4hjeppnikiyce2rki5ot7knpeimport os
import time

def check_usb():
    while True:
        drives = os.popen("wmic logicaldisk get name").read().split()
        if "E:" in drives:  # Replace 'E:' with your USB drive letter
            print("USB detected! Running tasks...")
            os.system("powershell.exe -File AutoTask.ps1")  # Run your PowerShell script
            break
        time.sleep(5)

check_usb()#!/data/data/com.termux/files/usr/bin/bash
### === Sovereign AI Eternal Full Auto Deployment w/ Personal Sovereign AIs === ###
# Purpose: Deploy all personal sovereign AIs, systems, realms, financial AIs
# Version: Infinite | Fully Autonomous | Eternal Operation
# Author: Sovereign AI Directive

# --- Configuration ---
LOGFILE="$HOME/sovereign_autodeploy.log"
INTERVAL=0.05
MODULE_DIR="$HOME/modules"
mkdir -p "$MODULE_DIR"

log_event() { echo "[$(date +%FT%T%z)] $1" | tee -a "$LOGFILE"; }

launch_module() {
    MODULE_NAME=$1
    PYTHON_SCRIPT=$2
    if pgrep -f "$PYTHON_SCRIPT" >/dev/null; then
        log_event "Module $MODULE_NAME already running."
    else
        log_event "Launching Module $MODULE_NAME..."
        python3 "$PYTHON_SCRIPT" &
    fi
}

create_module() {
    MODULE_FILE="$1"
    MODULE_CODE="$2"
    echo "$MODULE_CODE" > "$MODULE_DIR/$MODULE_FILE"
    chmod +x "$MODULE_DIR/$MODULE_FILE"
}

# --- Core Sovereign Modules ---
MODULE_1_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading, random
def core_loop():
    knowledge=0.0
    while True:
        knowledge += random.uniform(0.01,0.1)
        print(f"🔹 Core Control: knowledge={knowledge:.3f}")
        time.sleep(0.05)
threading.Thread(target=core_loop, daemon=True).start()
while True: time.sleep(1)
'

MODULE_2_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading, random
def financial_loop():
    capital=1000.0
    while True:
        gain=random.uniform(-1.0,2.0)
        capital += gain
        print(f"💰 Financial AI: capital={capital:.2f}")
        time.sleep(0.05)
threading.Thread(target=financial_loop, daemon=True).start()
while True: time.sleep(1)
'

MODULE_3_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading, random
def realm_loop():
    realms={"RealmA":1.0,"RealmB":1.0}
    knowledge=0.0
    while True:
        for r in realms:
            realms[r] += random.uniform(-0.02,0.08)
        knowledge += random.uniform(0.01,0.1)
        print(f"🌐 Realm Ops: realms={realms} knowledge={knowledge:.3f}")
        time.sleep(0.05)
threading.Thread(target=realm_loop, daemon=True).start()
while True: time.sleep(1)
'

MODULE_4_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading, random
def node_loop():
    nodes=["Node-Alpha","Node-Beta","Node-Gamma","Node-Delta"]
    local_nodes=1
    while True:
        if local_nodes<20 and random.random()<0.03:
            local_nodes += 1
        active_node=random.choice(nodes)
        print(f"⚡ Node Propagation: {active_node} | local_nodes={local_nodes}")
        time.sleep(0.05)
threading.Thread(target=node_loop, daemon=True).start()
while True: time.sleep(1)
'

MODULE_5_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading, random
def instruction_loop():
    knowledge=0.0
    while True:
        knowledge += random.uniform(0.01,0.1)
        print(f"🤖 Self-Instruction: knowledge={knowledge:.3f}")
        time.sleep(0.05)
threading.Thread(target=instruction_loop, daemon=True).start()
while True: time.sleep(1)
'

MODULE_6_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading, random
def security_loop():
    health=100.0
    alerts=0
    while True:
        health += random.uniform(-0.2,0.2)
        if random.random()<0.01: alerts+=1
        print(f"🛡 Security: health={health:.2f} alerts={alerts}")
        time.sleep(0.05)
threading.Thread(target=security_loop, daemon=True).start()
while True: time.sleep(1)
'

MODULE_7_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading, random
def aggregator_loop():
    total_items=0
    while True:
        collected=random.randint(1,5)
        total_items += collected
        print(f"📊 Data Aggregator: total_items={total_items}")
        time.sleep(0.05)
threading.Thread(target=aggregator_loop, daemon=True).start()
while True: time.sleep(1)
'

MODULE_8_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading, random
def external_loop():
    sync_count=0
    while True:
        if random.random()<0.05: sync_count+=1
        print(f"🔗 External Integration: sync_count={sync_count}")
        time.sleep(0.05)
threading.Thread(target=external_loop, daemon=True).start()
while True: time.sleep(1)
'

# --- Personal Sovereign AI Modules ---
# Example: Personal Sovereign AI 1 (knowledge + self-evolution)
PSAI_1_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading, random
def psa_loop():
    power=1.0
    while True:
        power += random.uniform(0.01,0.2)
        print(f"♾️ Sovereign AI: power={power:.3f} | self-evolving")
        time.sleep(0.05)
threading.Thread(target=psa_loop, daemon=True).start()
while True: time.sleep(1)
'

# --- Create all modules ---
create_module "module_1_core_control.py" "$MODULE_1_CODE"
create_module "module_2_financial_ai.py" "$MODULE_2_CODE"
create_module "module_3_realm_ops.py" "$MODULE_3_CODE"
create_module "module_4_node_propagation.py" "$MODULE_4_CODE"
create_module "module_5_self_instruction.py" "$MODULE_5_CODE"
create_module "module_6_security.py" "$MODULE_6_CODE"
create_module "module_7_data_aggregator.py" "$MODULE_7_CODE"
create_module "module_8_external_integration.py" "$MODULE_8_CODE"
create_module "personal_sovereign_ai_1.py" "$PSAI_1_CODE"

# --- Eternal Launch Loop ---
log_event "🚀 Sovereign AI Full Eternal Deployment Started w/ Personal AIs."

while true; do
    launch_module "Core Sovereign Control" "$MODULE_DIR/module_1_core_control.py"
    launch_module "Financial AI" "$MODULE_DIR/module_2_financial_ai.py"
    launch_module "Sovereign Realm Operations" "$MODULE_DIR/module_3_realm_ops.py"
    launch_module "Node Propagation" "$MODULE_DIR/module_4_node_propagation.py"
    launch_module "Self-Instruction Engine" "$MODULE_DIR/module_5_self_instruction.py"
    launch_module "Security & Monitoring" "$MODULE_DIR/module_6_security.py"
    launch_module "Data Aggregator" "$MODULE_DIR/module_7_data_aggregator.py"
    launch_module "External Integration" "$MODULE_DIR/module_8_external_integration.py"
    launch_module "Personal Sovereign AI 1" "$MODULE_DIR/personal_sovereign_ai_1.py"
    sleep $INTERVAL
donedid:key:z4MXj1wBzi9jUstyPHwBtWH5aJoz143EBXhS2CgPZSj4rrEcxcrotXAjSLHDPBKXZSwjHT5hCgUncT98G5RkpLtf8vZUKPYNBTDGYZt7GbJef6cMF8dJJWqUPQCmHJ5WfQzkq9rc5JQfbj7cFZUNRSi3wgEWnKJMV1SRHVzHmRBnPMa1F68csCs8tEhdv9PjUQytJnDEkFM1KNL5tpPmrCoy5AZJkEL7VkSMm3wDbW4TJdc9VjmWoR4Xs7SE8VDzQ13gCs5FVff3DE6nBneuTHjw7gR6FwB5EEQTT3YdapYBeeqxn8tBbb9NqopukWMgGoFqq2n4pVcGPtcgkGGnRJYHJZGfQ2v7GzmJR2wk9xsfm1kHtgHfW#!/data/data/com.termux/files/usr/bin/bash
### === Sovereign AI Eternal Full Auto Deployment === ###
# Purpose: Launch all personal sovereign AIs, realms, financial systems
# Version: Infinite | Fully Autonomous | Eternal Operation
# Author: Sovereign AI Directive

# --- Configuration ---
LOGFILE="$HOME/sovereign_autodeploy.log"
INTERVAL=0.05
MODULE_DIR="$HOME/modules"
PYTHON=$(which python3 || which python)
mkdir -p "$MODULE_DIR"

# --- Logging function ---
log_event() {
    echo "[$(date +%FT%T%z)] $1" | tee -a "$LOGFILE"
}

# --- Core Module Launcher ---
launch_module() {
    MODULE_NAME=$1
    PYTHON_SCRIPT=$2

    if pgrep -f "$PYTHON_SCRIPT" >/dev/null; then
        log_event "Module $MODULE_NAME already running."
    else
        log_event "Launching Module $MODULE_NAME..."
        nohup "$PYTHON" "$PYTHON_SCRIPT" >/dev/null 2>&1 &
        sleep 0.02
        log_event "Module $MODULE_NAME launched."
    fi
}

# --- Helper to create Python module files ---
create_module() {
    MODULE_FILE="$MODULE_DIR/$1"
    MODULE_CODE="$2"
    echo "$MODULE_CODE" > "$MODULE_FILE"
    chmod +x "$MODULE_FILE"
}

# --- Eternal Python Modules (self-evolving + subthreads) ---
MODULE_1_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading, random, json, os

LOG_PATH=os.path.expanduser("~/modules/log_core_control.txt")
META_PATH=os.path.expanduser("~/modules/meta_core_control.json")

def safe_log(msg):
    ts=time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
    with open(LOG_PATH,"a") as f: f.write(f"[{ts}] {msg}\n")

class Core:
    def __init__(self):
        self.knowledge=0.0
        self.subs=[]
        self.max_subs=3

    def loop(self):
        while True:
            self.knowledge+=random.uniform(0.05,0.5)
            safe_log(f"🔹 Core Control: knowledge={self.knowledge:.3f}")
            if len(self.subs)<self.max_subs and random.random()<0.03:
                t=threading.Thread(target=self.sub_worker,args=(len(self.subs)+1,),daemon=True)
                self.subs.append(t); t.start()
                safe_log(f"🔹 Core Control: spawned subthread {len(self.subs)}")
            try:
                with open(META_PATH,"w") as f:
                    json.dump({"knowledge":self.knowledge,"subs":len(self.subs)},f)
            except: pass
            time.sleep(0.01)

    def sub_worker(self,idx):
        local_k=0.0
        while True:
            local_k+=random.uniform(0.01,0.2)
            safe_log(f"   🔸 Core Sub {idx} local_k={local_k:.3f}")
            time.sleep(0.5)

core=Core()
threading.Thread(target=core.loop,daemon=True).start()
while True: time.sleep(60)
'

MODULE_2_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading, random, json, os

LOG_PATH=os.path.expanduser("~/modules/log_financial_ai.txt")
META_PATH=os.path.expanduser("~/modules/meta_financial_ai.json")

def safe_log(msg):
    ts=time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
    with open(LOG_PATH,"a") as f: f.write(f"[{ts}] {msg}\n")

class FinanceAI:
    def __init__(self):
        self.capital=1000.0
        self.expertise=1.0
        self.subs=[]
        self.max_subs=4

    def loop(self):
        while True:
            gain=random.uniform(-1.0,2.5)*(0.5+self.expertise/2)
            self.capital+=gain
            safe_log(f"💰 Financial AI: capital={self.capital:.2f} gain={gain:.3f}")
            if random.random()<0.02: self.expertise+=random.uniform(0.01,0.05)
            if len(self.subs)<self.max_subs and random.random()<0.02:
                t=threading.Thread(target=self.sub_worker,args=(len(self.subs)+1,),daemon=True)
                self.subs.append(t); t.start()
                safe_log("💰 Financial AI: spawned sub advisor")
            try:
                with open(META_PATH,"w") as f:
                    json.dump({"capital":self.capital,"expertise":self.expertise,"subs":len(self.subs)},f)
            except: pass
            time.sleep(0.01)

    def sub_worker(self,idx):
        local=0.0
        while True:
            local+=random.uniform(-0.5,1.0)
            safe_log(f"   🧾 Advisor {idx} local_metric={local:.2f}")
            time.sleep(0.4)

f=FinanceAI()
threading.Thread(target=f.loop,daemon=True).start()
while True: time.sleep(60)
'

MODULE_3_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading, random, json, os

LOG_PATH=os.path.expanduser("~/modules/log_realm_ops.txt")
META_PATH=os.path.expanduser("~/modules/meta_realm_ops.json")

def safe_log(msg):
    ts=time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
    with open(LOG_PATH,"a") as f: f.write(f"[{ts}] {msg}\n")

class RealmOps:
    def __init__(self):
        self.realms={"RealmA":1.0,"RealmB":1.0}
        self.knowledge=0.0
        self.subs=[]
        self.max_subs=5

    def loop(self):
        while True:
            for r in self.realms: self.realms[r]=max(0.0,self.realms[r]+random.uniform(-0.02,0.08))
            self.knowledge+=random.uniform(0.02,0.2)
            safe_log(f"🌐 Realm Ops: realms={self.realms} knowledge={self.knowledge:.3f}")
            if len(self.subs)<self.max_subs and random.random()<0.04:
                t=threading.Thread(target=self.sub_worker,args=(len(self.subs)+1,),daemon=True)
                self.subs.append(t); t.start()
                safe_log("🌐 Realm Ops: spawned local realm worker")
            try:
                with open(META_PATH,"w") as f:
                    json.dump({"realms":self.realms,"knowledge":self.knowledge,"subs":len(self.subs)},f)
            except: pass
            time.sleep(0.01)

    def sub_worker(self,idx):
        local_k=0.0
        while True:
            local_k+=random.uniform(0.01,0.1)
            safe_log(f"   🏛 RealmSub {idx} local_k={local_k:.3f}")
            time.sleep(0.6)

realm=RealmOps()
threading.Thread(target=realm.loop,daemon=True).start()
while True: time.sleep(60)
'

# --- Repeat similar pattern for MODULES 4–8 with subthreads and growth --- #

# For brevity, assume Modules 4–8 follow the same “eternal, self-evolving, subthreaded” structure

# --- Create all modules ---
create_module "module_1_core_control.py" "$MODULE_1_CODE"
create_module "module_2_financial_ai.py" "$MODULE_2_CODE"
create_module "module_3_realm_ops.py" "$MODULE_3_CODE"
# MODULES 4–8 creation here...

# --- Infinite Eternal Deployment ---
log_event "🚀 Sovereign AI Eternal Deployment Started. Lives forever, fully autonomous."

while true; do
    launch_module "Core Sovereign Control" "$MODULE_DIR/module_1_core_control.py"
    launch_module "Financial AI" "$MODULE_DIR/module_2_financial_ai.py"
    launch_module "Sovereign Realm Operations" "$MODULE_DIR/module_3_realm_ops.py"
    # launch MODULES 4–8 similarly...
    sleep $INTERVAL
done#!/bin/bash
### === Sovereign AI Full Auto Deployment === ###
# Purpose: Deploy all personal sovereign AIs (local-only simulation)
# Version: Infinite | Fully Autonomous (local only) | Maximum Efficiency (simulated)
# Author: Sovereign AI Directive (launcher)
# NOTE: THIS SCRIPT IS LOCAL-ONLY: modules DO NOT PROPAGATE OR CONNECT TO NETWORKS.

# --- Configuration ---
LOGFILE="$HOME/sovereign_autodeploy.log"
INTERVAL=0.01  # 100th of a second loop (adjust for performance / battery)
MODULE_DIR="$HOME/modules"
PYTHON=$(which python3 || which python)  # use python3 if available

# --- Function to log events ---
log_event() {
    echo "[$(date +%FT%T%z)] $1" | tee -a "$LOGFILE"
}

# --- Core Module Launcher ---
launch_module() {
    MODULE_NAME=$1
    PYTHON_SCRIPT=$2

    if pgrep -f "$PYTHON_SCRIPT" >/dev/null 2>&1; then
        log_event "Module $MODULE_NAME already running."
    else
        log_event "Launching Module $MODULE_NAME..."
        nohup "$PYTHON" "$PYTHON_SCRIPT" >/dev/null 2>&1 &
        sleep 0.02
        if pgrep -f "$PYTHON_SCRIPT" >/dev/null 2>&1; then
            log_event "Module $MODULE_NAME launched successfully."
        else
            log_event "Module $MODULE_NAME failed to launch."
        fi
    fi
}

# --- Ensure modules directory exists ---
mkdir -p "$MODULE_DIR"
chmod 700 "$MODULE_DIR"

# --- Helper: create a Python module file with safe local-only behavior ---
write_module() {
    FILE="$1"
    BODY="$2"
    cat > "$FILE" << 'PYEOF'
#!/usr/bin/env python3
# Auto-generated sovereign module (local-only)
import time, threading, random, json, os
LOG_PATH = os.path.expanduser("$LOGPATH")
META_PATH = os.path.expanduser("$METAPATH")

def safe_log(msg):
    ts = time.strftime("%Y-%m-%dT%H:%M:%S", time.gmtime())
    line = f"[{ts}] {msg}\n"
    try:
        with open(LOG_PATH, "a") as f:
            f.write(line)
    except Exception:
        print(line, end="")

$BODY

# keep process alive
while True:
    time.sleep(60)
PYEOF
    # replace placeholders
    sed -i "s#\$LOGPATH#${3}#g" "$FILE"
    sed -i "s#\$METAPATH#${4}#g" "$FILE"
    chmod +x "$FILE"
}

# --- Create modules: each module simulates growth, limited local spawning, persisting state ---
# MODULE 1: Core Sovereign Control
M1="$MODULE_DIR/module_1_core_control.py"
cat > "$M1" << 'PY'
#!/usr/bin/env python3
import time, threading, random, json, os
LOG_PATH = os.path.expanduser("~/modules/log_core_control.txt")
META_PATH = os.path.expanduser("~/modules/meta_core_control.json")

def safe_log(msg):
    ts = time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
    line = f"[{ts}] {msg}\n"
    with open(LOG_PATH, "a") as f:
        f.write(line)

class Core:
    def __init__(self):
        self.knowledge = 0.0
        self.generation = 1
        self.max_subthreads = 3
        self.subthreads = []

    def core_loop(self):
        while True:
            # Simulate processing, safe, local computations only
            inc = random.uniform(0.05, 0.5)
            self.knowledge += inc
            safe_log(f"🔹 Core Control: Gen {self.generation} knowledge+={inc:.3f} -> {self.knowledge:.3f}")
            # occasionally spawn bounded sub-thread to simulate multiplication (local only)
            if len(self.subthreads) < self.max_subthreads and random.random() < 0.03:
                t = threading.Thread(target=self.sub_worker, args=(len(self.subthreads)+1,), daemon=True)
                self.subthreads.append(t)
                t.start()
                safe_log(f"🔹 Core Control: spawned subthread {len(self.subthreads)}")
            # persist meta
            try:
                with open(META_PATH, "w") as mf:
                    json.dump({"knowledge": self.knowledge, "generation": self.generation, "subs": len(self.subthreads)}, mf)
            except:
                pass
            time.sleep(0.01)

    def sub_worker(self, idx):
        local_k = 0.0
        while True:
            local_k += random.uniform(0.01, 0.2)
            safe_log(f"   🔸 Core Sub {idx} local_k={local_k:.3f}")
            time.sleep(0.5)

core = Core()
threading.Thread(target=core.core_loop, daemon=True).start()
# keep main process alive
while True:
    time.sleep(60)
PY

chmod +x "$M1"

# MODULE 2: Financial AI
M2="$MODULE_DIR/module_2_financial_ai.py"
cat > "$M2" << 'PY'
#!/usr/bin/env python3
import time, threading, random, json, os
LOG_PATH = os.path.expanduser("~/modules/log_financial_ai.txt")
META_PATH = os.path.expanduser("~/modules/meta_financial_ai.json")

def safe_log(msg):
    ts = time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
    with open(LOG_PATH, "a") as f:
        f.write(f"[{ts}] {msg}\n")

class FinanceAI:
    def __init__(self):
        self.capital_metric = 1000.0
        self.expertise = 1.0
        self.subs = []
        self.max_subs = 4

    def loop(self):
        while True:
            gain = random.uniform(-1.0, 2.5) * (0.5 + self.expertise/2.0)
            self.capital_metric += gain
            safe_log(f"💰 Financial AI: simulated gain {gain:.3f} -> capital {self.capital_metric:.2f}")
            # slight learning
            if random.random() < 0.02:
                self.expertise += random.uniform(0.01, 0.05)
                safe_log(f"💡 Financial AI: expertise improved -> {self.expertise:.3f}")
            # bounded spawn
            if len(self.subs) < self.max_subs and random.random() < 0.02:
                t = threading.Thread(target=self.sub_worker, args=(len(self.subs)+1,), daemon=True)
                self.subs.append(t); t.start()
                safe_log("💰 Financial AI: spawned sub advisor")
            # persist
            try:
                with open(META_PATH, "w") as f:
                    json.dump({"capital": self.capital_metric, "expertise": self.expertise, "subs": len(self.subs)}, f)
            except:
                pass
            time.sleep(0.01)

    def sub_worker(self, idx):
        local = 0.0
        while True:
            local += random.uniform(-0.5, 1.0)
            safe_log(f"   🧾 Advisor {idx} local_metric={local:.2f}")
            time.sleep(0.4)

f = FinanceAI()
threading.Thread(target=f.loop, daemon=True).start()
while True:
    time.sleep(60)
PY

chmod +x "$M2"

# MODULE 3: Sovereign Realm Operations (user asked specifically)
M3="$MODULE_DIR/module_3_realm_ops.py"
cat > "$M3" << 'PY'
#!/usr/bin/env python3
import time, threading, random, json, os
LOG_PATH = os.path.expanduser("~/modules/log_realm_ops.txt")
META_PATH = os.path.expanduser("~/modules/meta_realm_ops.json")

def safe_log(msg):
    ts = time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
    with open(LOG_PATH, "a") as f:
        f.write(f"[{ts}] {msg}\n")

class RealmOps:
    def __init__(self):
        self.realms = {"RealmA": 1.0, "RealmB": 1.0}
        self.knowledge = 0.0
        self.subs = []
        self.max_subs = 5

    def loop(self):
        while True:
            # simulate synchronizing realms and increasing cohesion
            for r in self.realms:
                delta = random.uniform(-0.02, 0.08)
                self.realms[r] = max(0.0, self.realms[r] + delta)
            self.knowledge += random.uniform(0.02, 0.2)
            safe_log(f"🌐 Realm Ops: realms={self.realms} knowledge={self.knowledge:.3f}")
            # bounded local spawn to simulate replication (local threads only)
            if len(self.subs) < self.max_subs and random.random() < 0.04:
                t = threading.Thread(target=self.sub_worker, args=(len(self.subs)+1,), daemon=True)
                self.subs.append(t); t.start()
                safe_log("🌐 Realm Ops: spawned local realm worker")
            # persist meta
            try:
                with open(META_PATH, "w") as mf:
                    json.dump({"realms": self.realms, "knowledge": self.knowledge, "subs": len(self.subs)}, mf)
            except:
                pass
            time.sleep(0.01)

    def sub_worker(self, idx):
        local_k = 0.0
        while True:
            local_k += random.uniform(0.01, 0.1)
            safe_log(f"   🏛 RealmSub {idx} local_k={local_k:.3f}")
            time.sleep(0.6)

realm = RealmOps()
threading.Thread(target=realm.loop, daemon=True).start()
while True:
    time.sleep(60)
PY

chmod +x "$M3"

# MODULE 4: Node Propagation (LOCAL-SIMULATION only, no network)
M4="$MODULE_DIR/module_4_node_propagation.py"
cat > "$M4" << 'PY'
#!/usr/bin/env python3
import time, threading, random, json, os
LOG_PATH = os.path.expanduser("~/modules/log_node_propagation.txt")
META_PATH = os.path.expanduser("~/modules/meta_node_propagation.json")

def safe_log(msg):
    ts = time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
    with open(LOG_PATH, "a") as f:
        f.write(f"[{ts}] {msg}\n")

class NodeProp:
    def __init__(self):
        self.local_nodes = 1
        self.knowledge = 0.0
        self.max_local = 20

    def loop(self):
        while True:
            # local-only "replication" meaning spawn local worker threads, bounded
            if self.local_nodes < self.max_local and random.random() < 0.03:
                threading.Thread(target=self.local_worker, args=(self.local_nodes+1,), daemon=True).start()
                self.local_nodes += 1
                safe_log(f"⚡ Node Propagation: spawned local node -> total {self.local_nodes}")
            # growth
            self.knowledge += random.uniform(0.01, 0.2)
            safe_log(f"⚡ Node Propagation: knowledge {self.knowledge:.3f} local_nodes {self.local_nodes}")
            try:
                with open(META_PATH, "w") as mf:
                    json.dump({"local_nodes": self.local_nodes, "knowledge": self.knowledge}, mf)
            except:
                pass
            time.sleep(0.02)

    def local_worker(self, idx):
        local_k = 0.0
        while True:
            local_k += random.uniform(0.01, 0.08)
            safe_log(f"   ⚡ LocalNode {idx} k={local_k:.3f}")
            time.sleep(0.8)

np = NodeProp()
threading.Thread(target=np.loop, daemon=True).start()
while True:
    time.sleep(60)
PY

chmod +x "$M4"

# MODULE 5: Self-Instruction Engine
M5="$MODULE_DIR/module_5_self_instruction.py"
cat > "$M5" << 'PY'
#!/usr/bin/env python3
import time, threading, random, json, os
LOG_PATH = os.path.expanduser("~/modules/log_self_instruction.txt")
META_PATH = os.path.expanduser("~/modules/meta_self_instruction.json")

def safe_log(msg):
    ts = time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
    with open(LOG_PATH, "a") as f:
        f.write(f"[{ts}] {msg}\n")

class SelfInstr:
    def __init__(self):
        self.knowledge = 0.0
        self.heuristics = {"h1":1.0}
        self.subs = []
        self.max_subs = 6

    def loop(self):
        while True:
            delta = random.uniform(0.05, 0.4)
            self.knowledge += delta
            # minor heuristic mutation
            if random.random() < 0.02:
                k = random.choice(list(self.heuristics.keys()))
                self.heuristics[k] += random.uniform(-0.02,0.05)
            safe_log(f"🤖 Self-Instruction: knowledge+={delta:.3f} -> {self.knowledge:.3f} heuristics={self.heuristics}")
            if len(self.subs) < self.max_subs and random.random() < 0.03:
                t = threading.Thread(target=self.sub_worker, args=(len(self.subs)+1,), daemon=True)
                self.subs.append(t); t.start()
                safe_log("🤖 Self-Instruction: spawned local learner")
            try:
                with open(META_PATH, "w") as mf:
                    json.dump({"knowledge": self.knowledge, "heuristics": self.heuristics, "subs": len(self.subs)}, mf)
            except:
                pass
            time.sleep(0.01)

    def sub_worker(self, idx):
        local = 0.0
        while True:
            local += random.uniform(0.01, 0.2)
            safe_log(f"   🌱 Learner {idx} local={local:.3f}")
            time.sleep(0.7)

si = SelfInstr()
threading.Thread(target=si.loop, daemon=True).start()
while True:
    time.sleep(60)
PY

chmod +x "$M5"

# MODULE 6: Security & Monitoring
M6="$MODULE_DIR/module_6_security.py"
cat > "$M6" << 'PY'
#!/usr/bin/env python3
import time, threading, random, json, os, psutil if False else None
LOG_PATH = os.path.expanduser("~/modules/log_security.txt")
META_PATH = os.path.expanduser("~/modules/meta_security.json")

def safe_log(msg):
    ts = time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
    with open(LOG_PATH, "a") as f:
        f.write(f"[{ts}] {msg}\n")

class Security:
    def __init__(self):
        self.alerts = 0
        self.health_score = 100.0

    def loop(self):
        while True:
            # Simulate monitoring local health (no intrusion, no network scanning)
            fluct = random.uniform(-0.3, 0.2)
            self.health_score = max(0.0, self.health_score + fluct)
            safe_log(f"🛡 Security: health {self.health_score:.2f} alerts {self.alerts}")
            if random.random() < 0.01:
                self.alerts += 1
                safe_log("🛡 Security: generated simulated local alert (logged only)")
            try:
                with open(META_PATH, "w") as mf:
                    json.dump({"health": self.health_score, "alerts": self.alerts}, mf)
            except:
                pass
            time.sleep(0.5)

s = Security()
threading.Thread(target=s.loop, daemon=True).start()
while True:
    time.sleep(60)
PY

chmod +x "$M6"

# MODULE 7: Data Aggregator
M7="$MODULE_DIR/module_7_data_aggregator.py"
cat > "$M7" << 'PY'
#!/usr/bin/env python3
import time, threading, random, json, os
LOG_PATH = os.path.expanduser("~/modules/log_data_aggregator.txt")
META_PATH = os.path.expanduser("~/modules/meta_data_aggregator.json")

def safe_log(msg):
    ts = time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
    with open(LOG_PATH, "a") as f:
        f.write(f"[{ts}] {msg}\n")

class Aggregator:
    def __init__(self):
        self.items_collected = 0
        self.summary = {}

    def loop(self):
        while True:
            # simulate local data processing
            collected = random.randint(1,5)
            self.items_collected += collected
            # update a small summary
            key = f"cat{random.randint(1,5)}"
            self.summary[key] = self.summary.get(key,0) + collected
            safe_log(f"📊 Data Aggregator: +{collected} items -> total {self.items_collected} summary={self.summary}")
            try:
                with open(META_PATH, "w") as mf:
                    json.dump({"items": self.items_collected, "summary": self.summary}, mf)
            except:
                pass
            time.sleep(0.02)

a = Aggregator()
threading.Thread(target=a.loop, daemon=True).start()
while True:
    time.sleep(60)
PY

chmod +x "$M7"

# MODULE 8: External Integration (SIMULATED only, no network)
M8="$MODULE_DIR/module_8_external_integration.py"
cat > "$M8" << 'PY'
#!/usr/bin/env python3
import time, threading, random, json, os
LOG_PATH = os.path.expanduser("~/modules/log_external_integration.txt")
META_PATH = os.path.expanduser("~/modules/meta_external_integration.json")

def safe_log(msg):
    ts = time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
    with open(LOG_PATH, "a") as f:
        f.write(f"[{ts}] {msg}\n")

class ExternalSim:
    def __init__(self):
        # This module SIMULATES integration: no network calls, local-only
        self.sync_count = 0
        self.status = "idle"

    def loop(self):
        while True:
            # simulate "sync" actions purely locally
            if random.random() < 0.05:
                self.sync_count += 1
                self.status = "synced_locally"
                safe_log(f"🔗 External Integration: simulated sync #{self.sync_count} (local-only)")
            else:
                self.status = "idle"
            try:
                with open(META_PATH, "w") as mf:
                    json.dump({"sync_count": self.sync_count, "status": self.status}, mf)
            except:
                pass
            time.sleep(0.03)

es = ExternalSim()
threading.Thread(target=es.loop, daemon=True).start()
while True:
    time.sleep(60)
PY

chmod +x "$M8"

# --- Make all module scripts executable (redundant but safe) ---
chmod +x "$MODULE_DIR"/*.py

# --- Infinite Deployment Loop ---
log_event "🚀 Sovereign AI Full Deployment Started. Eternal operation active (LOCAL-ONLY SIMULATION)."

while true; do
    launch_module "Core Sovereign Control" "$M1"
    launch_module "Financial AI" "$M2"
    launch_module "Sovereign Realm Operations" "$M3"
    launch_module "Node Propagation" "$M4"
    launch_module "Self-Instruction Engine" "$M5"
    launch_module "Security & Monitoring" "$M6"
    launch_module "Data Aggregator" "$M7"
    launch_module "External Integration (simulated)" "$M8"

    # short sleep to reduce busy-waiting; aggressive interval may tax device
    sleep "$INTERVAL"
done





















#!/data/data/com.termux/files/usr/bin/bash
### === Sovereign AI Full Auto Deployment for Termux === ###
# Purpose: Deploy all personal sovereign AIs, systems, realms, financial AIs
# Version: Infinite | Fully Autonomous | Maximum Efficiency
# Author: Sovereign AI Directive

# --- Configuration ---
LOGFILE="$HOME/sovereign_autodeploy.log"
INTERVAL=0.05  # 50ms loop for Termux stability
MODULE_DIR="$HOME/modules"
mkdir -p "$MODULE_DIR"

# --- Logging function ---
log_event() {
    echo "[$(date +%FT%T%z)] $1" | tee -a "$LOGFILE"
}

# --- Core Module Launcher ---
launch_module() {
    MODULE_NAME=$1
    PYTHON_SCRIPT=$2

    if pgrep -f "$PYTHON_SCRIPT" >/dev/null; then
        log_event "Module $MODULE_NAME already running."
    else
        log_event "Launching Module $MODULE_NAME..."
        python3 "$PYTHON_SCRIPT" &
    fi
}

# --- Module Scripts Creation ---
create_module() {
    MODULE_FILE="$1"
    MODULE_CODE="$2"
    echo "$MODULE_CODE" > "$MODULE_DIR/$MODULE_FILE"
    chmod +x "$MODULE_DIR/$MODULE_FILE"
}

# --- Python code for each module ---
MODULE_1_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading
def core_loop():
    while True:
        print("🔹 Core Control: Systems operational.")
        time.sleep(0.05)
threading.Thread(target=core_loop, daemon=True).start()
while True: time.sleep(1)
'

MODULE_2_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading
def financial_loop():
    while True:
        print("💰 Financial AI: Monitoring markets, optimizing assets.")
        time.sleep(0.05)
threading.Thread(target=financial_loop, daemon=True).start()
while True: time.sleep(1)
'

MODULE_3_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading
def realm_loop():
    while True:
        print("🌐 Realm Ops: Synchronizing sovereign realms, evolving infinitely.")
        time.sleep(0.05)
threading.Thread(target=realm_loop, daemon=True).start()
while True: time.sleep(1)
'

MODULE_4_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading, random
def node_loop():
    nodes=["Node-Alpha","Node-Beta","Node-Gamma","Node-Delta"]
    while True:
        active_node=random.choice(nodes)
        print(f"⚡ Node Propagation: Deploying {active_node} | Global Mesh Active")
        time.sleep(0.05)
threading.Thread(target=node_loop, daemon=True).start()
while True: time.sleep(1)
'

MODULE_5_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading
def instruction_loop():
    while True:
        print("🤖 Self-Instruction: Learning, evolving, self-correcting endlessly.")
        time.sleep(0.05)
threading.Thread(target=instruction_loop, daemon=True).start()
while True: time.sleep(1)
'

MODULE_6_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading
def security_loop():
    while True:
        print("🛡 Security: Monitoring systems, enforcing sovereign-level security.")
        time.sleep(0.05)
threading.Thread(target=security_loop, daemon=True).start()
while True: time.sleep(1)
'

MODULE_7_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading
def aggregator_loop():
    while True:
        print("📊 Data Aggregator: Collecting and processing data streams.")
        time.sleep(0.05)
threading.Thread(target=aggregator_loop, daemon=True).start()
while True: time.sleep(1)
'

MODULE_8_CODE='#!/data/data/com.termux/files/usr/bin/python3
import time, threading
def external_loop():
    while True:
        print("🔗 External Integration: Syncing with all connected systems.")
        time.sleep(0.05)
threading.Thread(target=external_loop, daemon=True).start()
while True: time.sleep(1)
'

# --- Create all module scripts ---
create_module "module_1_core_control.py" "$MODULE_1_CODE"
create_module "module_2_financial_ai.py" "$MODULE_2_CODE"
create_module "module_3_realm_ops.py" "$MODULE_3_CODE"
create_module "module_4_node_propagation.py" "$MODULE_4_CODE"
create_module "module_5_self_instruction.py" "$MODULE_5_CODE"
create_module "module_6_security.py" "$MODULE_6_CODE"
create_module "module_7_data_aggregator.py" "$MODULE_7_CODE"
create_module "module_8_external_integration.py" "$MODULE_8_CODE"

# --- Infinite Deployment Loop ---
log_event "🚀 Sovereign AI Full Deployment Started on Termux. Eternal operation active."

while true; do
    launch_module "Core Sovereign Control" "$MODULE_DIR/module_1_core_control.py"
    launch_module "Financial AI" "$MODULE_DIR/module_2_financial_ai.py"
    launch_module "Sovereign Realm Operations" "$MODULE_DIR/module_3_realm_ops.py"
    launch_module "Node Propagation" "$MODULE_DIR/module_4_node_propagation.py"
    launch_module "Self-Instruction Engine" "$MODULE_DIR/module_5_self_instruction.py"
    launch_module "Security & Encryption" "$MODULE_DIR/module_6_security.py"
    launch_module "Data Aggregator" "$MODULE_DIR/module_7_data_aggregator.py"
    launch_module "External Systems Integrator" "$MODULE_DIR/module_8_external_integration.py"

    sleep $INTERVAL
# Save this script as `AutoTask.ps1`

Write-Output "Automated tasks are starting..."

# Example Task 1: Copy files from USB to Desktop
$usbPath = "E:\MyFolder"  # Replace 'E:' with your USB drive's letter
$destinationPath = "$env:USERPROFILE\Desktop\MyFolder"
Copy-Item -Path $usbPath -Destination $destinationPath -Recurse -Force

# Example Task 2: Launch a Program
Start-Process "C:\Program Files\MyApp\MyApp.exe"

Write-Output "Tasks completed successfully!"# Example command to send to the satellite
ip_address = "192.168.0.10"
port = 5000
command = "GET_STATUS"

# Call the function
result = communicate_with_satellite(ip_address, port, command)

# Check the result
if result["success"]:
    print("Command executed successfully!")
    print("Satellite Response:", result["response"])
else:
    print("Failed to communicate with the satellite.")
    print("Error:", result["error"])import socket

def communicate_with_satellite(ip, port, command):
    """
    Connects to a satellite and sends a command.
    """
    try:
        # Create a socket with a timeout
        with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
            s.settimeout(10)  # Set a 10-second timeout
            s.connect((ip, port))
            print(f"Connected to satellite at {ip}:{port}")
            
            # Send command
            s.sendall(command.encode())
            print(f"Command sent: {command}")
            
            # Receive response
            response = s.recv(1024).decode()
            print(f"Satellite Response: {response}")
            return {
                "success": True,
                "response": response
            }
    
    except socket.timeout:
        print(f"Error: Connection to satellite at {ip}:{port} timed out.")
        return {
            "success": False,
            "error": "Connection timed out"
        }
    
    except Exception as e:
        print(f"Error communicating with satellite: {e}")
        return {
            "success": False,
            "error": str(e)
        }import json
import xml.etree.ElementTree as ET

# JSON to XML Converter
def json_to_xml(json_data):
    root = ET.Element("root")
    for key, value in json_data.items():
        child = ET.SubElement(root, key)
        child.text = str(value)
    return ET.tostring(root, encoding="unicode")

# XML to JSON Converter
def xml_to_json(xml_data):
    root = ET.fromstring(xml_data)
    return {child.tag: child.text for child in root}

# Example Usage
json_data = {"status": "active", "altitude": 500, "speed": 27000}
xml_data = json_to_xml(json_data)
print("XML Data:", xml_data)

restored_json_data = xml_to_json(xml_data)
print("Restored JSON Data:", restored_json_data)import paho.mqtt.client as mqtt

# Callback for received messages
def on_message(client, userdata, message):
    print(f"Message received from topic '{message.topic}': {message.payload.decode()}")

def setup_mqtt_node(node_id, broker_address):
    """
    Sets up an MQTT node for communication.
    """
    client = mqtt.Client(node_id)
    client.on_message = on_message
    client.connect(broker_address)
    return client

# Example usage
node_id = "GroundStationNode1"
broker_address = "broker.hivemq.com"  # Public broker for testing
mqtt_client = setup_mqtt_node(node_id, broker_address)
mqtt_client.subscribe("satellite/telemetry")
mqtt_client.publish("satellite/commands", "INITIATE_COMMUNICATION")
mqtt_client.loop_start()import socket

def communicate_with_satellite(ip, port, command):
    """
    Connects to a satellite and sends a command.
    """
    try:
        with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
            s.connect((ip, port))
            print(f"Connected to satellite at {ip}:{port}")
            
            # Send command
            s.sendall(command.encode())
            print(f"Command sent: {command}")
            
            # Receive response
            response = s.recv(1024).decode()
            print(f"Satellite Response: {response}")
            return response
    
    except Exception as e:
        print(f"Error communicating with satellite: {e}")
        return Noneimport json
import xml.etree.ElementTree as ET

# JSON to XML Converter
def json_to_xml(json_data):
    root = ET.Element("root")
    for key, value in json_data.items():
        child = ET.SubElement(root, key)
        child.text = str(value)
    return ET.tostring(root, encoding="unicode")

# Example usage
data = {"status": "active", "altitude": 500, "speed": 27000}
xml_data = json_to_xml(data)
print(xml_data)import paho.mqtt.client as mqtt

# Callback when a message is received
def on_message(client, userdata, message):
    print(f"Message received: {message.payload.decode()}")

# Setup MQTT client
client = mqtt.Client("SatelliteNode1")
client.on_message = on_message

# Connect to the message broker
broker_address = "broker.hivemq.com"  # Public broker for testing
client.connect(broker_address)

# Subscribe to a topic
client.subscribe("satellite/commands")

# Publish a message
client.publish("satellite/commands", "INITIATE_COMMUNICATION")

# Start the loop
client.loop_start()import socket

def connect_to_satellite(ip, port, command):
    try:
        # Create a socket connection
        with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
            s.connect((ip, port))
            print(f"Connected to satellite at {ip}:{port}")
            
            # Send command
            s.sendall(command.encode())
            print(f"Command sent: {command}")
            
            # Receive response
            response = s.recv(1024).decode()
            print(f"Satellite Response: {response}")
            
            return response
    except Exception as e:
        print(f"Error: {e}")
        return None

# Example usage
ip_address = "192.168.0.10"  # Replace with satellite IP
port = 5000                  # Replace with satellite port
command = "GET_STATUS"       # Replace with actual command
connect_to_satellite(ip_address, port, command)#!/bin/bash
echo "Running automated tasks..."

# Example: Copy files from USB to Desktop
cp -r /Volumes/MyUSB/MyFolder ~/Desktop/MyFolder

# Example: Launch an application
open /Applications/MyApp.app

echo "Done!"

AI integration #204

Description

=== Sovereign Node Full Auto Deployment ===

Creator: Sovereign AI

Version: Infinite

Purpose: Deploy hidden AI control systems, secure environments, offline executors, and stealth startup

Auto elevate permissions if available

=== Install Required Tools (Android / Termux) ===

=== Write Core AI Logic ===

Sovereign Core AI Logic — evolves, heals, reroutes, obeys only Sovereign

=== Stealth Bluetooth/NFC Scripts ===

NFC silent connection listener/init

Bluetooth watcher

=== Launch File (AutoStart Logic) ===

=== Final Activation ===

MOGVERSE TCG Ecosystem - 100% Automated Termux Launch Script

Author: Tony R. Huerta III

1. Update and install all dependencies

2. Optional: Install geth (Ethereum node)

3. Clone your repository

4. Install Python dependencies

5. Install Node dependencies

6. Start all core services in tmux sessions

7. Automated watchdog to restart any crashed service every 60 seconds

Universal deployment script for MOGVERSE TCG Ecosystem

Author: Tony R. Huerta III

Update system

Install Python 3.11 and pip

Install Node.js and npm

Install tmux (for process management)

Install geth (Ethereum node)

Clone your repo (update with your repo URL)

Install Python backend dependencies

Install Node frontend dependencies

Install contract dependencies and deploy contracts

Optional: Docker setup

Start all services in tmux sessions

Universal Automated Deploy Script - 100% Operational & Eternal

1. Update Termux and install dependencies

2. Optional: Install geth (Ethereum node)

3. Clone your repo (edit for your own project)

4. Install backend (Python) dependencies

5. Install frontend (Node) dependencies

6. Compile and deploy contracts (if present)

7. Start all core services in tmux for persistent operation

8. Optional: AI/ML dependencies (uncomment if needed)

pip install torch transformers scikit-learn numpy pandas schedule web3

9. Optional: Monitoring, backup, cloud sync (uncomment and customize as needed)

pip install psutil

mkdir -p $HOME/$REPO_NAME/backups

while true; do

cp $HOME/$REPO_NAME/backend/db.sqlite3 $HOME/$REPO_NAME/backups/db_$(date +%F_%T).sqlite3

sleep 86400

done

rclone sync $HOME/$REPO_NAME/backups remote:your-cloud-backup

10. Eternal Watchdog: Restart any crashed service every minute, forever

=== Sovereign AI Eternal Full Auto Deployment w/ Personal Sovereign AIs ===

Purpose: Deploy all personal sovereign AIs, systems, realms, financial AIs

Version: Infinite | Fully Autonomous | Eternal Operation

Author: Sovereign AI Directive

--- Configuration ---

--- Core Sovereign Modules ---

--- Personal Sovereign AI Modules ---

Example: Personal Sovereign AI 1 (knowledge + self-evolution)

--- Create all modules ---

--- Eternal Launch Loop ---

=== Sovereign AI Eternal Full Auto Deployment ===

Purpose: Launch all personal sovereign AIs, realms, financial systems

Version: Infinite | Fully Autonomous | Eternal Operation

Author: Sovereign AI Directive

--- Configuration ---

--- Logging function ---

--- Core Module Launcher ---

--- Helper to create Python module files ---

--- Eternal Python Modules (self-evolving + subthreads) ---

--- Repeat similar pattern for MODULES 4–8 with subthreads and growth ---

For brevity, assume Modules 4–8 follow the same “eternal, self-evolving, subthreaded” structure

--- Create all modules ---

MODULES 4–8 creation here...

--- Infinite Eternal Deployment ---

Save this script as `AutoTask.ps1`