Assignment 2 Version A

Assignment 2

Overview

Create a script that presents information about process memory usage in a user friendly way.

Processes are a way of abstracting the different threads on a Linux system. Whenever you run a program from the terminal, or launch an application from the GUI, you start one or more processes. Processes require memory and CPU time until they are closed or finish. You have already learned about investigating processes using commands such as ps or top. Your task will be to create a basic program similar to these.

Program Function

When your script runs without arguments, it will show how much is memory is being used out of the total available:

./assignment2.py

Memory         [############        | 62%] 9408404/15221204

When your scripts is passed the name of a program, it will show how much memory each process is running:

./assignment2.py firefox

248203         [                    | 0%] 73872/15221204
248165         [                    | 0%] 73544/15221204
248163         [                    | 0%] 74020/15221204
248154         [                    | 0%] 50444/15221204
247738         [                    | 1%] 103872/15221204
247715         [                    | 1%] 124872/15221204
247422         [                    | 0%] 54212/15221204
247301         [#                   | 3%] 388440/15221204
firefox        [#                   | 6%] 943276/15221204

Using the -H option will have your program output memory totals in human readable format (GiB instead of billions of bytes).

Using the -l option with a number will adjust the length of the bar graph.

Please see the Sample Output section for more details.

How It Works

Total Memory Use

Information about processes can be found in the /proc directory. Use ls to investigate this location now. Pay particular attention to the directories that are named after process IDs (pids) and files such as meminfo.

When we calculate memory usage on a Linux machine, we have to take many things into account: unused memory is considered wasted, and so available memory is often used to cache data that is no longer is use, but may need to be accessed in the future. Generally any memory that isn’t free, or being used for buffering or caching is considered in use.

Memory that is considered available is that which can be used to start new applications without swapping.

For simplicity’s sake, for this assignment “Memory in use” = Total Memory - Available Memory.

Both of these memory amounts can be found inside the /proc/meminfo file.

Tracking Processes For A Running Program

For this assignment, we will ask you to get the Process ID numbers (pids) of an application using the pidof command. As you will discover, simple CLI programs like grep might only use a single process, whereas a more complex GUI program like Firefox will use several.

Memory Use Per Process

Memory usage for a single process can be very complex. When an application starts, a process will map a block of memory for possible usage. This is Virtual Set Size (Vss). This number will not actually tell you how much physical memory is actually being used by the process.

Resident Memory (Rss) is closer to the actual amount of physical memory used by a process. However, a block of memory might be shared across several processes, the Resident memory amount inaccurate.

When you use a tool such as Process Monitor or top, generally the memory amount being reported is Rss. So for simplicity’s sake, for this assignment the memory used by a process should be the resident total.

The total amount of Rss memory can be found in /proc/pid, where pid is the process id number. In this directory you will find a file called smaps. Your program will need to read this file, find each line that begins with Rss, and sum the number to get total Rss memory used.

For more information on how memory and /proc in Linux refer to these manual pages:

• man 5 proc
• man free
• This page is also an excellent explanation of memory.

TL;DR: The process we are using for this assignment is not accurate, but it will get us close enough!

Restrictions

• You may only use the following modules:
  • argparse
  • os
  • sys
• No other modules are allowed

Instructions

The assignment will be broken into two milestones and one final submission. Please update your repository for each milestone and complete the final submission in order to earn all marks.

Deadlines will be provided by your instructor.

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Getting Started

1. Accept the assignment on Blackboard.
2. Once you accepted the assignment, you will get access to a starting repo.
3. Add your code to the existing assignment2.py file.
4. Commit after each significant change to the code.
5. You can never have too many commits. GitHub is your proof of work and your backup if things go wrong.

First Milestone

Complete the following functions. The function definitions are already provided in the assignment2.py file:

• percent_to_graph()
• get_sys_mem()
• get_avail_mem()

Percent to Graph Function

This function will convert a float between 0.0 - 1.0 into a string of hash symbols and spaces: ‘####’.

This will require you to use a scaling formula.

Get Total and Available System Memory

get_sys_mem() and get_avail_mem() will both use open() to open the /proc/meminfo file, and return the relevant memory amounts as integers.

Note For WSL Users:

For whatever reason, WSL does not include the MemAvailable row. But you can easily get this value by returning the sum of MemFree and SwapFree.

Once you have completed these functions, you have everything you need to print the total memory used graph as you have seen at the top of this page!

Checking Your Work

A check script is provided to you in the repository. Run the following checks to verify your work:

python3 ./checkA2.py -f -v TestPercent

python3 ./checkA2.py -f -v TestMemFuncs

Feedback

I will provide you feedback on GitHub. Check the Issues tab, and make any changes that are required before the next deadline. You can close the issue to indicate that you have seen the comment.

Second Milestone

Complete the following functions:

• parse_command_args()
• pids_of_prog()
• rss_mem_of_pid()

Command Arguments Using Argparse

You will be using a module in the standard library called Argparse. This will help handle more complex sets of options and arguments than simply using sys.argv. Refer to the argparse documentation to complete the parse_command_args function. At minimum, your assignment should handle the following options and arguments:

• -h will print a usage message. This will automatically be created by argparse itself, you will not need to implement this. However, refer carefully to the sample output and ensure that your help message matches the required output.
• -H will print file sizes in Human readable format. For example, 1024 bytes will be printed as 1KiB, 1024 kilobytes will be printed as 1MiB, and so on.
• -l <number> will set the maximum length of the bar graph. The default should be 20 character. This option will require an option argument that is an integer.
• Your script will also check for one optional positional argument which contains the name of a running program for scanning.

A function has been provided for you, most of the work is already complete. However, you will have to add one more option to it in order to get full marks.

Your assignment should be able to produce the following:

./assignment2.py -h

usage: assignment2.py [-h] [-H] [-l LENGTH] [program]

Memory Visualiser -- See Memory Usage Report with bar charts

positional arguments:
  program               if a program is specified, show memory use of all
                        associated processes. Show only total use if not.

options:
  -h, --help            show this help message and exit
  -H, --human-readable  Prints sizes in human readable format
  -l LENGTH, --length LENGTH
                        Specify the length of the graph. Default is 20.

Copyright 2023

Checking Your Work

Run the following checks to verify your work:

python3 ./checkA2.py -f -v TestParseArgs

python3 ./checkA2.py -f -v TestPidList

python3 ./checkA2.py -f -v TestPidMem

Feedback

I will provide you feedback on GitHub. Check the Issues tab, and make any changes that are required before the next deadline. You can close the issue to indicate that you have seen the comment.

Final Submission

For the final step, you will need to tie everything together:

• Use the args object to check the options and arguments inputted by the user.
• Display the output in formatted columns. You will probably want to use f-strings, and set a specific width for each variable so that everything lines up.
• Make sure the -H and -l options change your output.

Add Human Readable Output

The meminfo file has been storing memory amounts in kibibytes (kiB). One kibibytes equals 1024 bytes and is the correct way of presenting a number of bytes in a human readable format.

When the user uses the option -H, your script should present the amount of memory using mebi (MiB), gibi (GiB) or tebibytes (TiB).

This function is provided for you, but you should comment this code to explain how it works.

Final Checks

Run the check script without arguments to verify all parts of your assignment. Output will be checked manually.

python3 ./checkA2.py -f -v

Submitting Your Code For Review

1. Push your code to GitHub before the deadline.
2. In addition, submit your code to Blackboard. A link will be provided.

Other Considerations

A significant amount of your mark will be based on the things that aren’t your code. Please review the following guidelines to maximise your grade.

Comments And Documentation

You need to be commenting your code. The following documentation is required:

• in-line comments: Any line of code that is doing something non-obvious should be commented. Explain why you are doing something, rather than what you are doing.
• function docstrings: After your def line, you enter a docstring inside ““. Any function that doesn’t already come with a docstring should have one.
• top-level docstring: You will have noticed that the top of your assignment2.py file already has this docstring. Complete the Academic Honesty declaration and complete the docstring.

PEP

The PEP-8 Style Guide is an official Python document that describes best practices for formatting your code. You should follow this guide as much as possible. You may find that using a linter to check style to be useful.

Functions and Variables

• In addition to the required functions, you may create as many functions as you need.
• Functions should be in lower case, and spaces should be represented with an underscore. For example: function_name.
• Any data used inside of a function should be passed in as a parameter. Avoid global variables.
• Variables should have a sensible name. Avoid naming things x.
• Variables should be in lower case, and spaces represented by an underscore. For example: start_date.

Git Commits

A workplace will have its own policy about how often to commit, and how to document commits. For us, git commits are your proof of work. Assignments that lack commits are subject to Academic Integrity review.

• A good practice is to create a commit for every significant change to your code. At the very least, commit after completing each of the required functions.
• An acceptable commit message needs to short, but should also describe the change. For example: git commit -m "completed the leap_year function".

Rubric

Element	Marks
Milestone 1:
TestPercent Checks	4
TestMemFuncs Checks	6
Milestone 2:
TestParseArgs Checks	2
TestPidList Checks	4
TestPidMem Checks	4
Final Submission:
Final Checks	10
Output Presentation	5
Comments and Documentation	5
github use	5
functions and style	2
error checking	3

Sample Output

./assignment2.py

Memory         [#############       | 65%] 9890952/15221204

./assignment2.py firefox

295117         [                    | 1%] 76748/15221204
295071         [                    | 1%] 76692/15221204
295067         [                    | 1%] 76500/15221204
295065         [                    | 0%] 51912/15221204
294659         [                    | 1%] 119720/15221204
294629         [                    | 2%] 228976/15221204
294606         [                    | 0%] 62112/15221204
294524         [                    | 2%] 379096/15221204
firefox        [#                   | 7%] 1071756/15221204

./assignment2.py -H firefox

295117         [                    | 1%] 74.95 MiB/14.52 GiB
295071         [                    | 1%] 74.89 MiB/14.52 GiB
295067         [                    | 1%] 74.89 MiB/14.52 GiB
295065         [                    | 0%] 50.70 MiB/14.52 GiB
294659         [                    | 1%] 109.53 MiB/14.52 GiB
294629         [                    | 1%] 145.89 MiB/14.52 GiB
294606         [                    | 0%] 60.66 MiB/14.52 GiB
294524         [                    | 2%] 327.28 MiB/14.52 GiB
firefox        [#                   | 6%] 918.79 MiB/14.52 GiB

./assignment2.py -l 40 nvim

293104         [                                        | 0%] 22636/15221204
nvim           [                                        | 0%] 22636/15221204

./assignment2.py -l 50

Memory         [##################################                | 68%] 10282860/15221204

./assignment2.py oopsie

oopsie not found.

./assignment2.py -h

usage: assignment2.py [-h] [-H] [-l LENGTH] [program]

Memory Visualiser -- See Memory Usage Report with bar charts

positional arguments:
  program               if a program is specified, show memory use of all
                        associated processes. Show only total use if not.

options:
  -h, --help            show this help message and exit
  -H, --human-readable  Prints sizes in human readable format
  -l LENGTH, --length LENGTH
                        Specify the length of the graph. Default is 20.

Copyright 2023