High CPU usage in idle state on Intel Mac when using Python3.8

[yanxurui]

Check FAQs Checked.

Describe the bug I started the proxy from command line in my mac and noticed the CPU usage of the acceptor is very high even though there is zero load. Seems there is a while loop running inside the process?

To Reproduce Steps to reproduce the behavior:

1. clone the repo
2. install depedencies
3. checkout to v2.4.3
4. python -m proxy --num-acceptors 1 --hostname 0.0.0.0 --log-level d

develop ✔ $ python -m proxy --num-acceptors 1 --hostname 0.0.0.0 --log-level d
2022-11-27 14:17:20,414 - pid:28662 [D] utils.set_open_file_limit:320 - Open file soft limit set to 1024
2022-11-27 14:17:20,415 - pid:28662 [I] plugins.load:85 - Loaded plugin proxy.http.proxy.HttpProxyPlugin
2022-11-27 14:17:20,416 - pid:28662 [I] tcp.listen:80 - Listening on 0.0.0.0:8899
2022-11-27 14:17:20,421 - pid:28662 [D] pool._start:148 - Started acceptor#0 process 28680
2022-11-27 14:17:20,423 - pid:28662 [I] pool.setup:105 - Started 1 acceptors in threadless (local) mode
2022-11-27 14:17:20,673 - pid:28680 [D] selector_events.__init__:59 - Using selector: KqueueSelector
2022-11-27 14:17:20,674 - pid:28680 [D] threadless.run:412 - Working on 0 works

Expected behavior I expect the CPU usage of the proxy process to be very low when there is no load at all. However, the process is utilizing the entire core.

Version information

• OS: Mac OS Monterey
• Browser [e.g. chrome, safari]: N/A
• Device: Mac
• proxy.py Version: v2.4.3

Screenshots If applicable, add screenshots to help explain your problem.

[abhinavsingh]

Thanks for reporting. This is unusual. I'll look into it today.

[yanxurui]

Thanks for the quick response. Without specifying num-acceptors, 4 acceptors will be launched and each of them are comsuming 70%~100% of a core, making the fan of my Mac work crasily. This can also be reproduced in the develop branch.

[abhinavsingh]

So I am using develop branch and used flags as you passed. I made a few requests through proxy.py and now I am using it for my entire MacOS system.

Below is a screenshot and video from the same duration

https://user-images.githubusercontent.com/126065/204133859-e5f6a131-f0e3-4f0f-b891-40addd6bb708.mov

I see with contact traffic through proxy.py, its consumption doesn't go over 5-7% which is expected.

• I am wondering if this is related to Python 3.8.
• I am also on a M2 chip machine. Are you experiencing this on an Intel machine?

I'll further try to also reproduce the scenario. If not, will ask you for more debugging information.

Stay with me :)

[yanxurui]

Thanks. I am using an old mac

It looks good when I use Python 3.10.2

[abhinavsingh]

@yanxurui Awesome, thanks for confirming the same. I do have an older model in office :). I'll give a try on it tomorrow and share my findings.