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CSCI 104 Docker

Supported Platforms


Introduction

This repository contains a Dockerfile and a couple of management scripts for creating and using a virtualized Linux container capable of building, running, and debugging C++. Using a virtualized container is preferable to a user's local machine because it guarantees consistent compilation and execution of C++ binaries. While compilers and tooling may vary between systems, creating a sealed environment from the exact same components every time ensures that code runs the same for graders as it does students.

But why use Docker over a traditional virtual machine? Docker is considerably less resource-intensive than installing a full virtual machine. Instead of needing the facilities for a graphical interface, virtual file system, etc., we can mount any directory of the host machine directly in the container and use a shell to run compilation and debugging. Development and file management may be done normally on the local machine.

Feel free to read through the wiki for a more in-depth guide on how setup and use Docker as well as how it works.

Installation

This is a fairly long wiki in order to be as clear as possible. Feel free to jump around using the Table of Contents icon on the upper left side of this README:

screenshot of github table of contents list

Prerequisites

You will be running a lot of commands in the terminal to set this up. If you have not done this before, we highly recommend checking out CP Jamie Flores' great Linux wiki. Specifically, you'll want to look at the Navigating Directories section.

Please make sure that your machine meets the requirements for Docker Desktop, which you will install in Step 1:

Windows host:

  • Windows 10 64-bit: (Build 18362 or later)
    • WSL2 container backend

Optional: If you are using Windows 10 Home, you can obtain a "free" license for Windows 10 Education here.

Mac host:

  • Intel:
    • Mac hardware must be a 2010 or newer model
    • macOS must be version 10.13 or newer
    • 4 GB RAM minimum
  • Apple Silicon (e.g. M1, M1X, ...):

Linux host:

  • x86_64/amd64: tested on Ubuntu 20.04, Arch Linux

  • aarch64 (e.g. Raspberry Pi): 64-bit OS: tested on Ubuntu Server 21.10

Step 0: Install WSL2 (Windows only)

If you are using macOS or Linux operating system, you can skip this section. If you are running Windows, you must install the Windows Subsystem for Linux 2 (WSL2) before installing Docker.

Follow the instructions below to install WSL2 on your machine: Windows Subsystem for Linux Installation Guide

Step 1: Install Docker

Install Docker Desktop from the website

When the installation has finished, open up Docker Desktop to make sure it's running. If Docker is running properly, you will see a green icon in the lower left side, like the image below:

screenshot of Docker Desktop with a green icon on the lower left side

If you encounter errors in this process, please see the Troubleshooting wiki.

Step 2: Create a working directory

We highly recommend that you create a dedicated working directory to clone CSCI 104 repositories and to do your programming assignments.

Create a csci104 folder on your machine. Next, you'll need to open a terminal into the folder to run the remaining commands in the setup.

Open up a Terminal (macOS) or Powershell/Windows Terminal (Windows). Next, navigate to your csci104 folder by typing cd (notice the space) and dragging the csci104 folder from Finder or File Explorer into the terminal, then press enter.

Step 3: Clone this repository

After setting up Docker, you need to clone this repository which contains a setup script for both Windows and Unix-based systems.

Run the commands below to clone the repository and change directories into the new folder:

git clone https://github.com/csci104/docker.git
cd docker

If this command fails with an error like git command not found, you need to install the git command-line interface (CLI). See this link and download the version for your operating system.

The git clone command downloads a repository (think of it as a folder) from the Github URL. To learn more about what the cd command does, take a look at the Linux wiki.

Step 4: Run the setup script

This repository contains a setup script to install a command-line tool you will use to access your Docker containers, pull the CSCI 104 docker image and setup your virtualized environment.

If you followed Step 3 properly, you have a terminal open in the docker folder. If you're not sure, see the Filepaths in the Terminal tip.

Now that you're ready to run the setup script, read and follow the instructions below corresponding to your operating system:

macOS/Linux

On macOS in Terminal, run the respective setup script inside the docker folder:

./unix/setup.sh

Note: if you're not able to run ch after setup, you may need to run source ~/.zshrc or source ~/.bashrc depending on your default shell. If you don't understand what this means, you can safely ignore the comment!

Windows

On Windows in PowerShell or Windows Terminal, the process is similar but you must make sure you can run PowerShell scripts:

Make sure you run this in an Admin PowerShell:

# must execute this in admin powershell and select [A] to run scripts
Set-ExecutionPolicy RemoteSigned

In PowerShell, run this command in the docker folder:

.\windows\setup

Step 5: Set your working directory

If the command above runs successfully, you will be prompted to provide the directory in your local machine you wish to be accessible from the virtual machine.

If you followed Step 2, you will drag the csci104 folder you created into your terminal from Finder/File Explorer. See the Filepaths in the Terminal tip for more help.

Step 5: Verify your installation

Once you've finished answering the prompts and setup script finishes, you should be ready to use ch to work with your csci104 environment!

If you're on macOS, try running source ~/.zshrc or source ~/.bashrc and then run ch list. If this fails, try opening up a new terminal and retry the command. If this fails, you can ask a CP, post on Piazza, or create a Github Issue if you're not in the class but still need help.

Let's check and make sure everything works by running ch list in your terminal. You should get output like this below, but don't worry if the filepath in Volume looks a little different:

macOS

$ ch list
Name:   csci104
        Image:  usccsci104/docker:20.04
        Volume: /Users/username/csci104:/work
        SecOpt: seccomp:unconfined
        CapAdd: SYS_PTRACE

Windows

PS C:\Users\Username> ch list
Name:   csci104
        Image:  usccsci104/docker:20.04
        Volume: C:\Users\Username\csci104:/work
        SecOpt: seccomp:unconfined
        CapAdd: SYS_PTRACE

If you see output something like this, you're all set up! Congrats!

Working

The ch (container-helper) command-line tool allows you to create and access Docker environments. When you ran the setup script, it created and pulled a Docker image made for compiling, running and debugging C++ code in CSCI 104. To run this environment, you can run this command (the same for both Unix and Windows systems):

ch COMMAND csci104

There are three commands you will regularly use:

  • The first, start, starts the container up in the background. The container should continue running until you shut down your computer, exit docker, or kill the container manually.
  • Next is shell, which simply opens a shell inside the virtual machine. This is where you can run standard linux commands, such as g++ or valgrind. You can exit the shell with the key sequence <Ctrl+D>
  • The last is stop, which manually shuts down the virtual container.

You will use the ch shell csci104 command to access the Docker container and compile or execute your code and run the autograder tests after assignments are graded. Anytime you need to push code to Github, make sure to exit the container. This last note deserves some emphasis:

You should not run any git commands in Docker. This means you should not run git pull, git push, git clone, etc after running ch shell csci104.

To Windows users:

You should only use the ch shell csci104 commands in Powershell or Windows Terminal on Windows. If you use GitBash, Cygwin, or another terminal emulator, you will unexpectedly exit gdb debugging sessions when you run ctrl-c.

Example

See full documentation for ch here.

# start your environment
ch start csci104

# get a shell into the csci104 environment
ch shell csci104

# exit the shell with <Ctrl+D> or typing `exit`

# stop the running environment
ch stop csci104

# print the running environments
ch running

Tips

Filepaths in the terminal

For the installation script and when navigating your terminal for the first time, you might need to provide a filepath. This represents where on your machine a specific folder or file is located. For more about this and terminal commands in general, please check out the Linux wiki.

There are many ways to do this, but this seems like the easiest way for people getting used to using their terminal:

  1. open Finder (macOS) or File Explorer (Windows)
  2. find the folder where you want to go to
  3. drag the path into your terminal to get the path

If you're wanting to change directories like in Step 3, you'll type cd into your terminal and drag the folder in.

If you're running the setup script in Step 4, you will drag your csci104 folder in the terminal when the script asks for a filepath.

Valgrind Suppression

To determine the correct valgrind suppression in the future, refer to this manual. Running it on a sufficiently complex piece of leak-free code will yield most of the necessary configurations.

Hypervisor on Windows

If you plan to using Docker and Virtual Box as a fallback, please be aware of what you will need to do to switch between the two systems. You'll have to toggle the Hypervisor:

  • Docker: Hypervisor ON
  • VirtualBox: Hypervisor OFF

Here's how you can do that on Windows:

  1. Press Windows key + X and select Apps and Features.
  2. Scroll down to the bottom and click Programs and Features link.
  3. Then click the Turn Windows Hypervisor on or off link on the left pane.

This issue ONLY concerns Windows users.

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A Docker container and instructions for virtualizing a C++ development environment

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