引言
利用psutil模块（https://pypi.python.org/pypi/psutil/），能够非常方便的监控系统的cpu、内存、磁盘io、网络带宽等性能参数，以下是否代码为监控某个特定程序的cpu资源消耗，打印监控数据，最终绘图显示，并且保存为指定的 pdf 文档备份。
示范代码
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Copyright (C) 2015 By Thomas Hu. All rights reserved.
@author : Thomas Hu (thomashtq#163.com)
@version: 1.0
@created: 2015-7-14
'''
import matplotlib.pyplot as plt
import psutil as ps
import os
import time
import random
import collections
import argparse
class ProcessMonitor(object):
def __init__(self, key_name, fields, duration, interval):
self.key_name = key_name
self.fields = fields
self.duration = float(duration)
self.inveral = float(interval)
self.CPU_COUNT = ps.cpu_count()
self.MEM_TOTAL = ps.virtual_memory().total / (1024 * 1024)
self.procinfo_dict = collections.defaultdict(dict)
def _get_proc_info(self, pid):
try:
proc = ps.Process(pid)
name = proc.name()
# If not contains the key word, return None
if name.find(self.key_name) == -1:
return None
pinfo = {
"name": name,
"pid" : pid,
}
# If the field is correct, add it to the process information dictionary.
for field in self.fields:
if hasattr(proc, field):
if field == "cpu_percent":
pinfo[field] = getattr(proc, field)(interval = 0.1) / self.CPU_COUNT
elif field == "memory_percent":
pinfo[field] = getattr(proc, field)() * self.MEM_TOTAL / 100
else:
pinfo[field] = getattr(proc, field)()
if pid not in self.procinfo_dict:
self.procinfo_dict[pid] = collections.defaultdict(list)
self.procinfo_dict[pid]["name"] = name
for field in self.fields:
self.procinfo_dict[pid][field].append(pinfo.get(field, 0))
print(pinfo)
return pinfo
except:
pass
return None
def monitor_processes(self):
start = time.time()
while time.time() - start < self.duration:
try:
pids = ps.pids()
for pid in pids:
self._get_proc_info(pid)
except KeyboardInterrupt:
print("Killed by user keyboard interrupted!")
return
def _get_color(self):
color = "#"
for i in range(3):
a = hex(random.randint(0, 255))[2:]
if len(a) == 1:
a = "0" + a
color += a
return color.upper()
def draw_figure(self, field, pdf):
# Draw each pid line
for pid in self.procinfo_dict:
x = range(len(self.procinfo_dict[pid][field]))
#print x, self.procinfo_dict[pid][field]
plt.plot(x, self.procinfo_dict[pid][field], label = "pid" + str(pid), color = self._get_color())
plt.xlabel(time.strftime("%Y-%m-%d %H:%M:%S"))
plt.ylabel(field.upper())
plt.title(field + " Figure")
plt.legend(loc = "upper left")
plt.grid(True)
plt.savefig(pdf, dpi = 200)
plt.show()
def Main():
parser = argparse.ArgumentParser(description='Monitor process CPU and Memory.')
parser.add_argument("-k", dest='key', type=str, default="producer",
help='the key word of the processes to be monitored(default is "producer")')
parser.add_argument("-d", dest='duration', type=int, default=60,
help='duration of the monitor to run(unit: seconds, default is 60)')
parser.add_argument('-i', dest='interval', type=float, default=1.0,
help='interval of the sample(unit: seconds, default is 1.0)')
args = parser.parse_args()
fields = ["cpu_percent", "memory_percent"]
#print args.key, args.duration, args.interval
pm = ProcessMonitor(args.key, fields, args.duration, args.interval)
pm.monitor_processes()
pm.draw_figure("cpu_percent", "cpu.pdf")
pm.draw_figure("memory_percent", "mem.pdf")
if __name__ == "__main__":
Main()
立即学习“Python免费学习笔记（深入）”；
立即学习“Python免费学习笔记（深入）”；
输出结果示范图
立即学习“Python免费学习笔记（深入）”；
