在Python psutil中调用函数时，如何监视CPU的使用情况? [英] How to monitor usage of CPU when function is called in Python psutil?

问题描述

嘿，我正在学习psutil软件包，我想知道在函数进行过程中如何显示当前的CPU使用率吗?我想我需要一些线程或类似的东西，但是该怎么做呢?谢谢你的回答.

Hey I'm learning psutil package and I want to know how to display current CPU usage when function is in progress? I suppose I need some threading or something like this, but how to do it? Thank u for any answers.

import psutil
import random

def iHateThis():
    tab = []
    for i in range(100000):
        tab.append(random.randint(1, 10000))

    tab.sort()
    return tab;

while(True):
    currentProcess = psutil.Process()
    print(currentProcess.cpu_percent(interval=1))

推荐答案

您可以使用threading运行iHateThis或使用cpu_percent()运行函数.我选择第二个版本.我将在线程中运行cpu_percent().

You can use threading to run iHateThis or to run function with cpu_percent(). I choose second version. I will run cpu_percent() in thread.

因为它使用while True，所以线程将永远运行，并且没有很好的方法来停止线程，所以我将全局可变的running与while running一起使用来停止该循环.

Because it uses while True so thread would run forever and there wouldn't be nice method to stop thread so I use global variaable running with while running to have method to stop this loop.

import threading
import psutil

def display_cpu():
    global running

    running = True

    currentProcess = psutil.Process()

    # start loop
    while running:
        print(currentProcess.cpu_percent(interval=1))

def start():
    global t

    # create thread and start it
    t = threading.Thread(target=display_cpu)
    t.start()

def stop():
    global running
    global t

    # use `running` to stop loop in thread so thread will end
    running = False

    # wait for thread's end
    t.join()

现在我可以用它来启动和停止显示CPU的线程.因为我可能必须使用Ctrl+C停止进程，所以它会引发错误，因此即使出现错误，我也会使用try/finally来停止线程.

and now I can use it to start and stop thread which will display CPU. Because I may have to stop process using Ctrl+C so it will raise error so I use try/finally to stop thread even if there will be error.

def i_hate_this():
    tab = []
    for i in range(1000000):
        tab.append(random.randint(1, 10000))
    tab.sort()
    return tab

# ---

start()
try:
    result = i_hate_this()
finally: # stop thread even if I press Ctrl+C
    stop()

---

完整代码:

---

Full code:

import random
import threading
import psutil

def display_cpu():
    global running

    running = True

    currentProcess = psutil.Process()

    # start loop
    while running:
        print(currentProcess.cpu_percent(interval=1))

def start():
    global t

    # create thread and start it
    t = threading.Thread(target=display_cpu)
    t.start()

def stop():
    global running
    global t

    # use `running` to stop loop in thread so thread will end
    running = False

    # wait for thread's end
    t.join()

# ---

def i_hate_this():
    tab = []
    for i in range(1000000):
        tab.append(random.randint(1, 10000))
    tab.sort()
    return tab

# ---

start()
try:
    result = i_hate_this()
finally: # stop thread even if I press Ctrl+C
    stop()

---

BTW:可以将其转换为继承自Thread类的类，然后可以将变量running隐藏在类中.

---

BTW: this can be converted to class which inherits from class Thread and then it can hide variable running in class.

import psutil
import random
import threading

class DisplayCPU(threading.Thread):

    def run(self):

        self.running = True

        currentProcess = psutil.Process()

        while self.running:
            print(currentProcess.cpu_percent(interval=1))

    def stop(self):
        self.running = False

# ----

def i_hate_this():
    tab = []
    for i in range(1000000):
        tab.append(random.randint(1, 10000))
    tab.sort()
    return tab

# ---

display_cpu = DisplayCPU()

display_cpu.start()
try:
    result = i_hate_this()
finally: # stop thread even when I press Ctrl+C
    display_cpu.stop()

---

它也可以转换为上下文管理器以运行它

---

It could be also converted to context manager to run it as

with display_cpu():
    i_hate_this()

但是我跳过了这一部分.

but I skip this part.

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