![]() ![]() getenv ( 'MONIT_DESCRIPTION' ) curDate = datetime. getenv ( 'MONIT_DESCRIPTION' )) if _name_ = "_main_" : # set script attributes ![]() debug ( "Slack notification script started." ) logging. DEBUG, format = formatter ) # logging attributes basicConfig ( filename = logfile, level = logging. abspath ( _file_ )) logfile = logdir + "/log/logger.log" logging. env fileįormatter = '%(levelname)s : %(asctime)s : %(message)s' logdir = os. The above program will work fine for Windows 10, but if you are a macOS or Linux user, you can see the psutil documentation if you are getting any errors.Import urllib.request import json import os import datetime import logging from dotenv import load_dotenv # load. As psutil is a cross-platform Python library, there are many functions that are supported by one OS but not by another. Using this library, you can not only retrieve the process information but also kill a process if needed. The only reason we used pandas DatFrame is that we want to sort the processes according to their memory usage. In this tutorial, the use of pandas is optional. After the complete execution, you will see a similar output: When you execute the above program, it might take a few minutes to execute. Process_df = process_df.astype(str) + " MB"įinally, put all the code together and execute.Ĩ368 GoogleCrashHandler64.exe 0.000 0.18 MBġ0608 MySQLInstallerConsole.exe 0.000 0.09 MB Process_df =process_df.sort_values(by='Memory Usages(MB)', ascending=False) , sort the process according to their memory usages, and add MB at the end of every process memory. "Memory Percentage(%)": memory_usage_percentage, Next, let's create a data dictionary that will contain all the process details. ![]() Will convert the creation time seconds in a readable time format.įunction will convert the date-time object to a readable string. Returns the number of threads used by the process.įunction will add the return value to the list.įunction will sound up the decimal point number up to 2 digits. Returns the running status of the process. In theįunction returns the process memory percentage by comparing the process memory to the system memory.įunction returns the process creation time in seconds. Returns a dictionary of different types of memory usage by the process. Memory_usage_percentage.append(round(mory_percent(),2))Ĭreate_time.append((process.create_time()).strftime("%Y%m%d - %H:%M:%S"))įunction returns the percentage of CPU utilization of the process. Identifiers that will store the detail about the process.įunction that can iterate over all the processes running on the local system.Ĭpu_usage.append(process.cpu_percent(interval=1)/psutil.cpu_count()) Let's begin with importing the modules that we will be using in our Python program. To install pandas, run the following pip install command on your terminal:Īnd code along. To show all the process lists and filter them according to memory usage. It is well known for its high-performance computation with arrays and multi-dimensional arrays like Series and DataFrame. Library for your Python environment, run the following pip install command on your terminal: Therefore, it can be used with all the popular operating systems, including Windows, Linux, macOS, FreeBSD, Sun Solaris, and AIX. With the help of this library, we can get information about the running processes and system utilization (CPU, memory, and so on). Is a Python system and process utility library. Before we dive into the Python code, let's install the libraries that we will be using in this tutorial. In this Python tutorial, we will walk you through a Python program that allows you to keep track of applications and processes running on your system. From there, you can also kill any process or application that is taking too many CPU resources.Īlthough you can easily open your task manager to monitor all processes, it would be cool if you knew how to make a process monitor in Python. Also, you can see their CPU usage, memory usage, and status. Every operating system comes with a task manager or system monitor where you can see your running applications. ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |