Instructions to install Py-spy on HAOS

Another option is to use gProfiler. It uses py spy also. Instructions are here: GitHub - Granulate/gprofiler: gProfiler is a system-wide profiler, combining multiple sampling profilers to produce unified visualization of what your CPU is spending time on.

You can generate different reports of the running threads, processes, …

Example:

I’m trying to diagnose high CPU issue on an RPi4.

I’ve disabled almost all integrations, and still seeing a solid ~65% cpu usage. (very stable - CPU usage stays at that level)

I have installed py-spy, but can’t find the PID for home assistant. top shows nothing with “homeassistant” or python or any other obvious process.

I note that for both top and htop, all the visible processes are ~0% CPU usage, yet I can see all four cores are running about 65% each. i.e I can’t see any processes actually using any CPU…yet the CPU is very busy

It appears as if whatever process is using all the CPU is hidden from me?

pgrep -u homeassistant shows unknown user.

I’m pretty lost here…I cant py-spy a process if I can’t see that process?

Here is the output from ps aux

PID USER TIME COMMAND
1 root 0:00 /package/admin/s6/command/s6-svscan -d4 – /run/service
17 root 0:00 s6-supervise s6-linux-init-shutdownd
19 root 0:00 /package/admin/s6-linux-init/command/s6-linux-init-shutdownd -d3 -c /run/s6/basedir -g 3
26 root 0:00 s6-supervise s6rc-oneshot-runner
27 root 0:00 s6-supervise ttyd
28 root 0:00 s6-supervise sshd
29 root 0:00 s6-supervise s6rc-fdholder
37 root 0:00 /package/admin/s6/command/s6-ipcserverd -1 – /package/admin/s6/command/s6-ipcserver-acc
310 root 0:00 ttyd -d1 -i hassio --writable -p 62211 tmux -u new -A -s homeassistant zsh -l
313 root 0:00 sshd: /usr/sbin/sshd -D -e [listener] 0 of 10-100 startups
415 root 0:00 sshd: redacted [priv]
417 julz 0:00 sshd: redacted@pts/0
418 root 0:00 sudo -i
420 root 0:00 sudo -i
421 root 0:16 -zsh
1013 root 0:00 ps aux

Update: I couldn’t figure out how to see the processes directly from the terminal (I guess it’s running ina docker that is hidden from me, and I don’t know how to access).

But I installed Glances, and found it is the hassio_dns process that is using 162% cpu.

I checked my DNS entry, it was correct (8.8.8.8). So I changed it to point at my local DNS server, (that all my DHCP clients use), and that still had the same issue. I switched again to 1.1.1.1, same problem.

I note the dns logs have many lines like:
[ERROR] plugin/errors: 2 . NS: dial tcp 1.1.1.1:853: connect: connection refused

Anyhow, this is no longer a py-spy issue, so I’ll refrain from commenting further in this thread, and go try and figure out this DNS issue. Just leaving this info here in case it helps anyone else track down their CPU usage issues.

This thread looks promising regarding High CPU usage from Hassio DNS

@Mariusthvdb any other solutions/alternatives, since “Unsupported version of Python: 3.12.0”?

You can build it manually from this PR fix line number for python 3.12 by penguin-wwy · Pull Request #666 · benfred/py-spy · GitHub