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YAO-agent/monitor.py
2020-05-24 00:09:02 +08:00

99 lines
3.2 KiB
Python

import os
import time
import subprocess
import json
from xml.dom.minidom import parse
import xml.dom.minidom
import multiprocessing
import psutil
import math
import datetime
def main():
interval = 1
while True:
try:
status, msg_gpu = execute(['nvidia-smi', '-q', '-x', '-f', 'status.xml'])
if not status:
print("execute failed, ", msg_gpu)
stats = get_gpu_status()
utils = []
for stat in stats:
utils.append(str(stat['utilization_gpu']))
# report_msg(stats)
t = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
print(str(t) + ',' + ','.join(utils))
time.sleep(interval)
except Exception as e:
print(e)
time.sleep(interval)
def execute(cmd):
try:
result = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
if result.returncode == 0:
return True, result.stdout.decode('utf-8').rstrip('\n')
return False, result.stderr.decode('utf-8').rstrip('\n')
except Exception as e:
return False, e
def get_gpu_status():
DOMTree = xml.dom.minidom.parse("status.xml")
collection = DOMTree.documentElement
gpus = collection.getElementsByTagName("gpu")
stats = []
for gpu in gpus:
stat = {
'uuid': gpu.getElementsByTagName('uuid')[0].childNodes[0].data,
'product_name': gpu.getElementsByTagName('product_name')[0].childNodes[0].data,
'performance_state': gpu.getElementsByTagName('performance_state')[0].childNodes[0].data,
'memory_total': gpu.getElementsByTagName('fb_memory_usage')[0].getElementsByTagName('total')[0].childNodes[
0].data,
'memory_free': gpu.getElementsByTagName('fb_memory_usage')[0].getElementsByTagName('free')[0].childNodes[
0].data,
'memory_used': gpu.getElementsByTagName('fb_memory_usage')[0].getElementsByTagName('used')[0].childNodes[
0].data,
'utilization_gpu':
gpu.getElementsByTagName('utilization')[0].getElementsByTagName('gpu_util')[0].childNodes[0].data,
'utilization_mem':
gpu.getElementsByTagName('utilization')[0].getElementsByTagName('memory_util')[0].childNodes[0].data,
'temperature_gpu':
gpu.getElementsByTagName('temperature')[0].getElementsByTagName('gpu_temp')[0].childNodes[0].data,
'power_draw':
gpu.getElementsByTagName('power_readings')[0].getElementsByTagName('power_draw')[0].childNodes[0].data
}
stat['memory_total'] = int(float(stat['memory_total'].split(' ')[0]))
stat['memory_free'] = int(float(stat['memory_free'].split(' ')[0]))
stat['memory_used'] = int(float(stat['memory_used'].split(' ')[0]))
stat['utilization_gpu'] = int(float(stat['utilization_gpu'].split(' ')[0]))
stat['utilization_mem'] = int(float(stat['utilization_mem'].split(' ')[0]))
stat['temperature_gpu'] = int(float(stat['temperature_gpu'].split(' ')[0]))
stat['power_draw'] = int(float(stat['power_draw'].split(' ')[0]))
stats.append(stat)
return stats
def report_msg(stats):
mem = psutil.virtual_memory()
post_fields = {
'status': stats,
'cpu_num': multiprocessing.cpu_count(),
'cpu_load': os.getloadavg()[0],
'mem_total': math.floor(mem.total / (1024. ** 3)),
'mem_available': math.floor(mem.available / (1024. ** 3))
}
data = json.dumps(post_fields)
if __name__ == '__main__':
os.environ["TZ"] = 'Asia/Shanghai'
if hasattr(time, 'tzset'):
time.tzset()
main()