{
 "cells": [
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   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\jerin\\AppData\\Local\\Temp\\ipykernel_18680\\2251714346.py:13: DeprecationWarning: Callback API version 1 is deprecated, update to latest version\n",
      "  client = mqtt.Client(mqtt.CallbackAPIVersion.VERSION1, clientId)\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[1], line 28\u001b[0m\n\u001b[0;32m     26\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m     27\u001b[0m     publish_sensor_data()\n\u001b[1;32m---> 28\u001b[0m     time\u001b[38;5;241m.\u001b[39msleep(\u001b[38;5;241m5\u001b[39m)\n\u001b[0;32m     29\u001b[0m client\u001b[38;5;241m.\u001b[39mdisconnect()\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "import paho.mqtt.client as mqtt\n",
    "import time\n",
    "import random\n",
    "import pandas as pd\n",
    "import json\n",
    "\n",
    "clientId = \"smartbuilding\"\n",
    "broker_address = \"localhost\"\n",
    "broker_port = 1883\n",
    "\n",
    "df = pd.read_csv(\"buildingdata.csv\")\n",
    "\n",
    "client = mqtt.Client(mqtt.CallbackAPIVersion.VERSION1, clientId)\n",
    "client.connect(broker_address, broker_port)\n",
    "topic = \"sensor_data\"\n",
    "\n",
    "def publish_sensor_data():\n",
    "    # temp = round(random.uniform(20, 30), 2)  \n",
    "    # pressure = round(random.uniform(900, 1100), 2)  \n",
    "    for index, row in df.iterrows():\n",
    "        sa_temp = row['rtu_004_sa_temp']\n",
    "        ma_temp = row['rtu_004_ma_temp']\n",
    "    client.publish(topic, payload=json.dumps({\"sa_temp\": sa_temp, \"ma_temp\": ma_temp}))\n",
    "\n",
    "\n",
    "while True:\n",
    "    publish_sensor_data()\n",
    "    time.sleep(5)\n",
    "client.disconnect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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