{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2024-01-15T16:21:32.634426800Z",
     "start_time": "2024-01-15T15:30:44.375000700Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "          Date      Time  Temperature  Barometric Pressure  Humidity\n0   23-12-2023  10:31:44         9.14               962.54    61.900\n1   23-12-2023  10:33:26         9.19               962.56    62.583\n2   23-12-2023  10:34:26         9.14               962.59    61.835\n3   23-12-2023  10:35:26         8.95               962.61    62.270\n4   23-12-2023  10:36:26         8.91               962.67    61.414\n..         ...       ...          ...                  ...       ...\n0   15-01-2024  17:16:34         1.18               951.71    79.291\n0   15-01-2024  17:17:34         1.19               951.74    78.544\n0   15-01-2024  17:18:34         1.22               951.72    78.812\n0   15-01-2024  17:19:33         1.23               951.74    79.127\n0   15-01-2024  17:20:33         1.23               951.65    78.431\n\n[530 rows x 5 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Date</th>\n      <th>Time</th>\n      <th>Temperature</th>\n      <th>Barometric Pressure</th>\n      <th>Humidity</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>23-12-2023</td>\n      <td>10:31:44</td>\n      <td>9.14</td>\n      <td>962.54</td>\n      <td>61.900</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>23-12-2023</td>\n      <td>10:33:26</td>\n      <td>9.19</td>\n      <td>962.56</td>\n      <td>62.583</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>23-12-2023</td>\n      <td>10:34:26</td>\n      <td>9.14</td>\n      <td>962.59</td>\n      <td>61.835</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>23-12-2023</td>\n      <td>10:35:26</td>\n      <td>8.95</td>\n      <td>962.61</td>\n      <td>62.270</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>23-12-2023</td>\n      <td>10:36:26</td>\n      <td>8.91</td>\n      <td>962.67</td>\n      <td>61.414</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>15-01-2024</td>\n      <td>17:16:34</td>\n      <td>1.18</td>\n      <td>951.71</td>\n      <td>79.291</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>15-01-2024</td>\n      <td>17:17:34</td>\n      <td>1.19</td>\n      <td>951.74</td>\n      <td>78.544</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>15-01-2024</td>\n      <td>17:18:34</td>\n      <td>1.22</td>\n      <td>951.72</td>\n      <td>78.812</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>15-01-2024</td>\n      <td>17:19:33</td>\n      <td>1.23</td>\n      <td>951.74</td>\n      <td>79.127</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>15-01-2024</td>\n      <td>17:20:33</td>\n      <td>1.23</td>\n      <td>951.65</td>\n      <td>78.431</td>\n    </tr>\n  </tbody>\n</table>\n<p>530 rows × 5 columns</p>\n</div>"
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "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('192.168.1.123', 22, 'hoehenmichae', 'pi',\n",
    "                                            '/home/hoehenmichae/Documents/project/code.py')\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)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   },
   "id": "33ba79e654b7b277"
  }
 ],
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   "file_extension": ".py",
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