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System Setup

These tutorials will walk you through creating and deploying a basic seasketch geoprocessing project. You should already have a basic working knowledge of your computer, its operating system, shell environment (command line), and web application development using NodeJS and React. Learn more about the skills required.

Setup options:

A virtual environment is the recommended way for beginners to develop geoprocessing projects. Docker Desktop is the recommended methods on MacOS and Linux. WSL is the recommended method on Windows.

Virtual Install With Docker Desktop​

Docker Desktop allows you to run containerized applications that are isolated from your host operating system. It's similar but different from a virtual machine. SeaSketch publishes the docker-gp-workspace container image that is a fully-configured environment for developing geoprocessing projects. It allows you to get up and running quickly and has persistent storage. The downside is that code runs a bit slower in a container than directly on your system.

Install steps for all operating systems:

  • Install Docker Desktop on your host operating system and make sure it's running.
    • If you have a Mac, choose either Apple processor or Intel processor as appropriate. If you don't know, click the apple icon in the top left and select About This Mac and look for Processor.
  • Install VS Code on your host operating system and open it.
  • Clone the geoprocessing-devcontainer Github repository to your host operating system, and open that folder in VSCode.
    • From VSCode, click Open Folder button or File -> Open Folder and create or choose a folder where you keep source code. A folder called src or code in your users home directory is reasonable. Then click Select Folder to finish.
    • Press Ctrl-J or Cmd-backtick to open a terminal. The current directory of the terminal will be your workspace folder.
    • Enter the command to clone the geoprocessing-devcontainer repository to your workspace.
      • git clone https://github.com/seasketch/geoprocessing-devcontainer
    • Click Open Folder button or File -> Open Folder and open the repo folder you just cloned.
    • Press Ctrl-J or Cmd-backtick to open a terminal again.
  • Install required VSCode extensions. You may be prompted to do this, otherwise go to the Extension panel found on the left side of the VSCode window. Then install the following extensions:
    • Remote Development
    • Remote Explorer
    • Docker
    • Dev Containers

Once you have added the Dev Containers extension you should be prompted to "Reopen folder to develop in a container". Do not do this yet.

  • In the file Explorer panel, open the .devcontainer folder.
    • This top-level folder contains the configuration for the stable geoprocessing devcontainer you will use.
  • Make a copy of .devcontainer/.env.template file and name it .env.
    • You don't need to add anything yet to your .env file, but it is required that it exists in the .devcontainer folder.

Now start the devcontainer:

  • Ctrl-Shift-P or Cmd-Shift-P to open the VSCode command palette
  • type “Reopen in container” and select the Dev Container command to do so.
  • Select the Geoprocessing Local Stable environment.
  • VSCode will pull the latest geoprocessing-workspace docker image, create a container with it, and start a remote code experience inside the container.
  • Notice the bottom left blue icon in your vscode window. It may say Opening remote connection and eventually will say Dev Container: Geoprocessing. This is telling you that this VSCode window is running in a devcontainer environment.

Manage Devcontainers

You now have a devcontainer, ready to create a project in.

To exit your devcontainer:

  • Click the blue icon in the bottom left, and then Reopen locally. This will bring VSCode back out of the devcontainer session.
  • You can also type Ctrl-Shift-P or Cmd-Shift-P and select Dev Containers: Reopen folder locally.

Manage Devcontainers

See devcontainer advanced usage guide to learn more.

MacOS Direct Install​

Requirement: 11.6.8 Big Sur or newer

Install all software dependencies directly on your Apple machine running the MacOS operating system:

  • Install Node JS >= 20.12

    • nvm is great for this
      • First, install nvm. May ask you to first install XCode developer tools which is available through the App Store or follow the instructions provided.
      • Then nvm install v20.12.
    • Then open your Terminal app of choice and run node -v to check your node version

  • Install latest NPM package manager after installing node.

    • npm --version to check
    • npm install -g latest

  • Install VS Code

    • Install recommended extensions when prompted. If not prompted, go to the Extensions panel on the left side and install the extensions named in this file

  • Install GDAL

    • First install homebrew
    • brew install gdal

  • Install Java runtime for MacOS (required for testing with Amazon DynamoDb Local)

  • Create a free Github account if you don't have one already

Windows WSL Install​

Requirement: Windows 11 or newer

Why use Windows Subsystem for Linux (WSL) to develop geoprocessing projects instead of using the Docker Desktop? Because WSL is faster than Docker Desktop alone. And because WSL provides a built-in filesystem bridge allowing you to access all your Windows drives in the Ubuntu container (via /mnt path).

To get started in Windows:

  • Install Powershell for Windows
  • Install WSL with Ubuntu distribution
    • If you already have WSL Version 2 installed, make sure it's up to date by running wsl --update in PowerShell
    • Install the default Ubuntu distribution as directed.
  • Install Docker Desktop with WSL2 support.
    • Once installed, make sure Docker Desktop is running
    • If you already had Docker Desktop installed, make sure it's updated to the latest version.
  • Install VS Code for Windows with WSL extension.

Geoprocessing Distribution​

A version of the geoprocessing-workspace Docker image has been packaged by the SeaSketch team for running in WSL. It's pre-configured with all dependencies. You can download, import, and run it right alongside the default Ubuntu distribution.

  • Open Powershell in Windows
  • Create a tmp directory
mkdir C:\tmp

  • Download the most recent geoprocessing-workspace zip file from the SeaSketch Box folder to this tmp directory and then unzip it.

  • Create a second directory to import the Geoprocessing tar image too, then import it:

mkdir C:\WslDistributions\Geoprocessing
wsl --import Geoprocessing C:\WslDistributions\Geoprocessing\ C:\tmp\geoprocessing-workspace_20230627\geoprocessing-workspace_20230627_65bd30ba63a3.tar

  • Be sure to update the filename in the import command above to match the version you downloaded.

  • If import is started correctly, you will see the message Import in progress, this may take a few minutes.... Once done it should say The operation completed successfully. If it didn't import successfully, try restarting your system, WSL may not have been running properly.

  • Setup Terminal Profile

    • This will create a shortcut to start an instance of Geoprocessing in WSL.
    • In PowerShell, click the down arrow in the tab bar, to the right of the (+) icon, then click Settings.

Terminal Profile

  • Find the Profiles section in left sidebar -> click Add a new profile
  • The, under Duplicate a profile, click Ubuntu, then Duplicate button.

Profile Duplicate

  • Change the name of the duplicated Ubuntu profiles to Geoprocessing
  • Change the profiles Terminal command from C:\WINDOWS\system32\wsl.exe -d Ubuntu to C:\WINDOWS\system32\wsl.exe -u vscode -d Geoprocessing. This will ensure that Geoprocessing starts with the correct user, instead of root.
  • Save and exit your new profile
  • The Terminal dropdown menu should now have a new Geoprocessing choice. Click this to start an instance of the Geoprocessing Distribution. It will open a shell, logged in with the vscode user.

In the Geoprocessing shell, setup the workspaces directory where you will create projects:

sudo mkdir /workspaces
sudo chmod 777 /workspaces
cd /workspaces

Now open VSCode in your workspaces directory:

code .

Install recommended VSCode extensions when prompted. If not prompted, go to the Extensions panel on the left side and install the following extensions

  • Remote Development
  • Remote Explorer
  • Docker
  • Dev Containers

Check to make sure you have access to your Windows filesystem:

ls /mnt/c

Follow the final configuration steps below, then move on to creating a new project.

Upgrade steps for the Geoprocessing Distribution are available

Default Ubuntu Distribution​

Only follow these install steps if you intend to setup and use the default Ubuntu Distribution in WSL instead of the pre-configured Geoprocessing Distribution (above).

Supported Ubuntu version: 22.04 Jammy

  • Open Windows start menu -> start typing Ubuntu on Windows -> Select Ubuntu on Windows
    • This will start Ubuntu virtual machine and open a bash shell in your home directory.

In Ubuntu shell:

  • Install Java runtime in Ubuntu (required by AWS CDK library)
  • Install Git in Ubuntu and Windows
  • Install VS Code in Windows and setup with WSL2.
    • Install recommended extensions when prompted. If not prompted, go to the Extensions panel on the left side and install the extensions named in this file
  • Install Node JS >= 20.12 in Ubuntu
    • nvm is great for this
      • First, install nvm. May ask you to first install XCode developer tools which is available through the App Store or follow the instructions provided.
      • Then nvm install v20.12.
    • Then open your Terminal app of choice and run node -v to check your node version
  • Install latest NPM package manager after installing node.
    • npm --version to check
    • npm install -g latest

Ubuntu Direct Install​

Requirement: Ubuntu 22.04 Jammy or newer

Setup is for a physical machine running the Ubuntu operating system.

From a Ubuntu terminal with root access, simply follow the steps above for default ubuntu installation

Final Configuration - all install options​

The last step, regardless of install option, is to set the username and email address git will associate with your commits.

You can set these per repository, or globally for all repositories on your system (and override as needed). Here's the commands to set globally for your environment.

git config --global user.name "Your Name"
git config --global user.email "yourusername@youremail.com"

Now verify it was set:

# If you set global - all repos
cat ~/.gitconfig

# If you set local - current repo
cat .git/config

Your environment is now ready for a project