AI integration

Open tonyromerohuerta opened this issue 1 month ago • 0 comments

pkg install pkg search 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

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

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."

=== 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 ---

--- Infinite Deployment Loop ---

log_event "🚀 Sovereign AI Full Deployment Started on Termux. Eternal operation active."

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!"

Nov 26 '25 08:11 tonyromerohuerta