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   "source": [
    "import paramiko\n",
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "import time\n",
    "\n",
    "\n",
    "def get_data(hostname, port, username, password, script_path):\n",
    "    try:\n",
    "        client = paramiko.SSHClient()\n",
    "        client.set_missing_host_key_policy(paramiko.AutoAddPolicy())\n",
    "        client.connect(hostname, port, username, password)\n",
    "\n",
    "        stdin, stdout, stderr = client.exec_command(f'python3 {script_path}')\n",
    "        output = stdout.read().decode('utf-8').strip()\n",
    "\n",
    "        client.close()\n",
    "\n",
    "        output_pairs = output.split(',')\n",
    "\n",
    "        variable_values = [float(pair.split('=')[1]) for pair in output_pairs]\n",
    "\n",
    "        variable1, variable2, variable3 = variable_values\n",
    "\n",
    "        return variable1, variable2, variable3\n",
    "\n",
    "    except Exception as e:\n",
    "        print(f\"An error occurred: {e}\")\n",
    "        return None, None, None\n",
    "\n",
    "\n",
    "df = pd.read_csv('Data.csv')\n",
    "while True:\n",
    "    try:\n",
    "        temp, pressure, humidity = get_data('hostname', port, 'username', 'password', 'script_path')\n",
    "        time_1 = datetime.now().time().replace(microsecond=0)\n",
    "        date_1 = datetime.today().date().strftime('%d-%m-%Y')\n",
    "        df_temp = pd.DataFrame(\n",
    "            {'Date': [date_1], 'Time': [time_1], 'Temperature': [temp], 'Barometric Pressure': [pressure],\n",
    "             'Humidity': [humidity]})\n",
    "        df = pd.concat([df, df_temp])\n",
    "        df.to_csv('Data.csv', index=False)\n",
    "        time.sleep(59)\n",
    "\n",
    "    except KeyboardInterrupt:\n",
    "        break\n",
    "\n",
    "df.to_csv('Data.csv', index=False)"
   ]
  }
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