Python监控进程性能数据并绘图保存为PDF文档
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2022-04-18 14:06:07
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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
#!/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
输出结果示范图