nvidia-smi_XML_to_mqtt

import paho.mqtt.client as mqtt
import subprocess
import xml.etree.ElementTree as ET
import xmltodict
import json
import csv
import time

# MQTT broker and topic information
HOST = "192.168.1.5"
TOPIC = "nvidia/params"
USER = "mqtt"
PASSWD = "mqtt#"

    # Capture the output of nvidia-smi
def send_nvidia_mqtt():
    result = subprocess.run(["nvidia-smi", "-q", "-x"], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
    xml_output = result.stdout.decode("utf-8")

    # xml parsing
    root = ET.fromstring(xml_output)

    # xml to dict conversion
    data_dict = xmltodict.parse(xml_output)['nvidia_smi_log']['gpu']

    # dict to json conversion
    json_dict = {
        "fan_speed": data_dict['fan_speed'],
        "performance_state": data_dict['performance_state'],
        "fb_memory_usage": data_dict['fb_memory_usage'],
        "utilization": data_dict['utilization'],
        "temperature": data_dict['temperature'],
        "power_readings": data_dict['power_readings'],
        "clocks": data_dict['clocks'],
    }

    # json object creation
    json_object = json.dumps(json_dict, indent=4)

    # Create MQTT client and connect to the broker
    client = mqtt.Client()
    client.username_pw_set(USER, PASSWD)
    client.connect(HOST, 1883, 60)

    # Publish the JSON data to the desired topic
    client.publish(TOPIC, json_object)

    # Disconnect from the broker
    client.disconnect()

# Main function
if __name__ == "__main__":
    while True:
        send_nvidia_mqtt()
        time.sleep(5)       # Wait for 5 seconds

=====================================================================================================
# Output (JSON):
{
    "fan_speed": "0 %",
    "performance_state": "P8",
    "fb_memory_usage": {
        "total": "5942 MiB",
        "used": "407 MiB",
        "free": "5535 MiB"
    },
    "utilization": {
        "gpu_util": "7 %",
        "memory_util": "7 %",
        "encoder_util": "0 %",
        "decoder_util": "0 %"
    },
    "temperature": {
        "gpu_temp": "45 C",
        "gpu_temp_max_threshold": "96 C",
        "gpu_temp_slow_threshold": "93 C",
        "gpu_temp_max_gpu_threshold": "91 C",
        "gpu_target_temperature": "83 C",
        "memory_temp": "N/A",
        "gpu_temp_max_mem_threshold": "N/A"
    },
    "power_readings": {
        "power_state": "P8",
        "power_management": "Supported",
        "power_draw": "17.24 W",
        "power_limit": "125.00 W",
        "default_power_limit": "125.00 W",
        "enforced_power_limit": "125.00 W",
        "min_power_limit": "70.00 W",
        "max_power_limit": "150.00 W"
    },
    "clocks": {
        "graphics_clock": "300 MHz",
        "sm_clock": "300 MHz",
        "mem_clock": "405 MHz",
        "video_clock": "540 MHz"
    }
}