The go-cart.io web application consists of two major parts:
-
The main, user-facing web application that users interact with to generate and view cartograms (
cartogram-web
), and -
The AWS Lambda function that actually generates cartograms from user data using a small Python wrapper for the C code at https://github.com/Flow-Based-Cartograms/go_cart (
cartogram-serverless
).For local development, a small wrapper using Python Flask is provided to simulate the HTTP API endpoint to the Lambda function on the developer's local machine.
In addition, the main web application also uses PostgreSQL and Redis for data storage.
This repository contains a Docker compose file that makes it easy to install and
run all of the components necessary to develop the go-cart.io website locally
on your computer. This readme file contains instructions on how to go about this
on Ubuntu and macOS. If you are using Windows, please follow the instructions in wsl.md
instead.
Before you begin, you must install Docker and Docker Compose.
First, you must install some dependencies for Docker and add the GPG keys for the Docker software repository:
$ sudo apt-get update
$ sudo apt-get install \
apt-transport-https \
ca-certificates \
curl \
gnupg-agent \
software-properties-common
$ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
Verify that you now have the key with the fingerprint
9DC8 5822 9FC7 DD38 854A E2D8 8D81 803C 0EBF CD88
,
by searching for the last 8 characters of the fingerprint.
$ sudo apt-key fingerprint 0EBFCD88
pub rsa4096 2017-02-22 [SCEA]
9DC8 5822 9FC7 DD38 854A E2D8 8D81 803C 0EBF CD88
uid [ unknown] Docker Release (CE deb) <docker@docker.com>
sub rsa4096 2017-02-22 [S]
Now add the repository for Docker and install it:
$ sudo add-apt-repository \
"deb [arch=amd64] https://download.docker.com/linux/ubuntu \
$(lsb_release -cs) \
stable"
$ sudo apt-get update
$ sudo apt-get install docker-ce docker-ce-cli containerd.io
Then, add yourself to the docker
group so you do not have to run Docker commands as root:
$ sudo usermod -aG docker your-username
Finally, download and install Docker Compose as a separate binary:
$ sudo curl -L "https://github.com/docker/compose/releases/download/1.25.5/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
$ sudo chmod +x /usr/local/bin/docker-compose
Install both Docker and Docker Compose by installing Docker Desktop for Mac according to the instructions at https://docs.docker.com/docker-for-mac/install/.
The code for the go-cart.io web application is contained within two GitHub repositories: cartogram-web and cartogram-serverless. Before you continue, fork these two repositories so you have your own version of them. Note the URL that you will need to use to clone both repositories.
Now, clone your forked cartogram-web
and cartogram-serverless
into the root directory
of this repository (i.e., the folder containing this readme). If you have SSH enabled for your GitHub
account, this should look like:
$ git clone git@github.com:your-github-username/cartogram-web.git
$ git clone git@github.com:your-github-username/cartogram-serverless.git
To start the go-cart.io web application for local development and testing, run the following command from the root directory of this repository (i.e., the folder containing this readme):
$ docker-compose up
The first time you run this command it may take a while to download and install dependencies.
After all of the Docker containers have started up, all of their output will be collected
into the terminal window so you can see how the web application is responding to requests,
and if it encounters any errors. You can access the locally-running go-cart.io website at
http://localhost:5000. When you make changes to the code in either the
cartogram-web
or cartogram-serverless
repositories, their respective servers will reload
automatically when you save your changes.
When you would like to shut down the go-cart.io web application, simply press Ctrl-C in the terminal window you started Docker Compose in. After a few moments, the state of all the Docker containers will be saved and the application will gracefully come to a halt.
NOTE: If you make a breaking change to the code (e.g., you introduce a syntax error), you will need to shut down the web application and start it again.