/
main.py
42 lines (34 loc) · 1.78 KB
/
main.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
from prometheus_client import start_http_server, Gauge
from time import sleep
from subprocess import run as run_command
def read_cpu_temp():
""" Reads cpu temp from /sys/class/thermal/thermal_zone0/temp """
cpu_temp = run_command(['cat', '/sys/class/thermal/thermal_zone0/temp'], capture_output=True, text=True).stdout
return int(cpu_temp)/1000
def read_cpu_freq():
"""
Reads cpu freq in from /sys/devices/system/cpu/cpufreq/policy0/. Freq are in hertz
max cpu freq file: /sys/devices/system/cpu/cpufreq/policy0/cpuinfo_max_freq
min cpu freq file: /sys/devices/system/cpu/cpufreq/policy0/cpuinfo_min_freq
current cpu freq file: /sys/devices/system/cpu/cpufreq/policy0/scaling_cur_freq
"""
max_freq = run_command(['cat', '/sys/devices/system/cpu/cpufreq/policy0/cpuinfo_max_freq'],
capture_output=True, text=True).stdout
min_freq = run_command(['cat', '/sys/devices/system/cpu/cpufreq/policy0/cpuinfo_min_freq'],
capture_output=True, text=True).stdout
cur_freq = run_command(['cat', '/sys/devices/system/cpu/cpufreq/policy0/scaling_cur_freq'],
capture_output=True, text=True).stdout
return int(max_freq) * 1000, int(min_freq) * 1000, int(cur_freq) * 1000
if __name__ == '__main__':
# Start up the server to expose the metrics.
start_http_server(9669)
# Create metrics
cpu_temp = Gauge('cpu_temp', 'CPU temperate')
cpu_freq = Gauge('cpu_freq', 'CPU frequencies', labelnames=['freq'])
while True:
cpu_temp.set(read_cpu_temp())
max_freq, min_freq, cur_freq = read_cpu_freq()
cpu_freq.labels(freq='max').set(max_freq)
cpu_freq.labels(freq='min').set(min_freq)
cpu_freq.labels(freq='cur').set(cur_freq)
sleep(2)