• added a firewall to the happy-robot test server
  • set the inbound rule to only accept specific IP access
  • to remember: protocol TCP, port 22 is SSH, port 80 is HTTP, port 443 is HTTPS
    (TCP and UDP port numbers)

• set the home directory of the user (/home/anne) as a trusted folder in Visual Studio Code

  • Workspaces: Manage Workspace Trust
  • at the bottom of the window you can edit trusted folders

  

  ^ over here (once you actually find this window :D)

• created a folder named 'Git' for the user in the home directory

  • brought in old projects first, just unzipped into 'Git'

• created a .ssh folder in the user home directory for ssh keys

  • created ssh keys to use with project
    (for cloning the project and getting access to the project server)
  • removed some usage permissions from the private key with
    chmod og-r <filename> (remove the read permission for all users except the file’s owner)
    (chmod command in linux)

• installed Git version control system into Ubuntu

  • note: this has to be done separately to make it work outside of VSCode too
  • note for glossary:
    Git is a version control system that lets you manage and keep track of your source code history.
    GitHub is a cloud-based hosting service that lets you manage Git repositories

• cloned this project to VScode (project-giskard)

• installed Poetry for user 'anne'
  • Poetry requires Python 3.7+
  • installation instructions: https://python-poetry.org/docs/
  • initialized Poetry for project-giskard
    • open Terminal, the Ubuntu window (which I learned is actually 'bash' ;D)
    • enter command poetry init
  • made it so that the virtual environment created by Poetry will be inside the project

    • go to root of the project folder

    • create poetry.toml file if it does not exist (I think we did this in VSCode...)

    • add the following to the file and save:

      [virtualenvs]
      in-project = true
      

*NOTE: Always open a Poetry shell when installing/changing/etc. stuff WITHIN the virtual environment

• Installed Robot Framework in a virtual environment within the project folder, using Poetry

  • open Terminal (bash) inside the project folder (~/Git/project-giskard)
  • activate the virtual environment with poetry shell command
  • now the location should be virtual, indicated by the project name and python version in parenthesis before the actual location
    like this: (project-giskard-py3.10) anne@Miyuki:~/Git/project-giskard$
  • now use command poetry add robotframework and it should install inside the virtual environment
    • note: use poetry add instead of apt install or similar, while within Poetry-created venv
  • now Robot Framework should be installed with all the dependencies required

• Note: there is also a project specific version of Python within the virtual environment

  • any changes to that must be done within the active venv, like installing a new version etc.

• Installed Node Version Manager in the user home directory

  • there are commands for getting and running the installer, but I think we took the command out of that and just ran it in a bash window
    (clearly this was not properly documented at the time ;D)
  • npm gets installed along with Node

• Installed a Long-Term Support version of Node with nvm

  • nvm install --lts
  • note: add LTS to glossary

• Installed Playwright and BrowserLibrary to test them

  • tested a small demo and things worked, but I had some thoughts.
  • uninstalled both

• Installed Selenium and SeleniumLibrary

  • both were installed within the virtual environment in the project

    • open Terminal (bash) in project folder
    • activate venv with poetry shell
    • poetry add selenium
    • poetry add robotframework-seleniumlibrary (that is actually the package name for this)

  • installed Chromedriver for Chrome/Chromium web support

• installed Chrome in Ubuntu for all users (after a few fixes mentioned below)

  • this was needed so the robot tests can use Chrome on the Ubuntu side, since they can't easily access the one in Windows

• added Google repository into Ubuntu (because there was an apt-key issue)

  • added the appropriate apt-key

  • told Ubuntu to use that key for the Google repository

  • ran sudo apt update to get Ubuntu to recognize the changes

  • ran sudo apt upgrade to implement changes

  • to be added: these still need proper documentation on how we did it, as it took several steps

• Here it is!

• an older MSi laptop with Windows 10, with both NVIDIA and Intel graphics cards
• Visual Studio Code had already been installed, with some version of WSL, and Robot Framework plugin
• Python was installed both on the Windows side as well as the Linux side on WSL
• Windows Terminal already installed (Powershell, Ubuntu)

• Uninstalled Ubuntu from Windows before removing WSL

  • go to Start Menu, Settings, Apps & Features
  • click on app
  • choose uninstall

• Removed WSL feature (for cleaner setup and to learn how to install it later)

  • go to Start Menu, Settings, Apps & Features
  • sidebar on the right, choose Programs and Features
  • that takes you to Control Panel\Programs\Programs and Features
  • on the left choose 'Turn Windows features on or off'
  • that opens a new window with checkboxes
  • find 'Windows Subsystem for Linux', uncheck the box, and click save

• Updated the BIOS to a slightly newer version

• Updated Intel Firmware

• Updated Dragon Center (MSi's own control panel)

• Installed Intel Driver & Support Assistant

  • updated any Intel drivers possible

• Updated the NVIDIA driver (Game Ready version) through GeForce Experience

• NOTE: later we checked that both the Intel and NVIDIA drivers should support WSL innately

• Updated Windows -_-

• Re-installed WSL

  • open Terminal, open a Powershell window as admin
  • enter command wsl --install (only works if WSL is not installed at all)
    • this will install WSL, which will then by default install Ubuntu
    • To change the distribution installed use command wsl --install -d <Distribution Name>

• Updated Ubuntu

  • open Terminal, open Ubuntu window
  • enter command sudo apt update (this will find info on available updates)
  • enter command sudo apt upgrade (this will actually install the updates)
  • this can also be done with sudo apt update && sudo apt upgrade -y (performs both, but only performs upgrade if update succeeds)

• Installed and ran 'xeyes' for Ubuntu to check that graphics really work with WSL on this setup
  • open Terminal, open Ubuntu window
  • enter command apt-get install x11-apps
  • enter command xeyes to run the program
  • It worked!!! ^_^