A Identity Management System powering login.gov.
The goal of this fork is a create a proof-of-concept for a citizen-bootstrapped national digital identity system for Canadians.
The fork will make use of an unofficial voter registration check API. A potential use-case is described here.
Related forks:
- Ruby 2.3.3
- Postgresql
- Redis 2.8+
- Node.js v4.4.x
Testing dependencies:
-
Make sure you have a working development environment with all the dependencies installed. On OS X, the easiest way to set up a development environment is by running our Laptop script. The script will install all of this project's dependencies.
-
Make sure Postgres and Redis are running.
For example, if you've installed the laptop script on OS X, you can start the services like this:
$ brew services start redis
$ brew services start postgres
- Run the following command to set up the environment:
$ make setup
This command copies sample configuration files, installs required gems and sets up the database.
- Run the app server with:
$ make run
Before making any commits, you'll also need to run overcommit --sign.
This verifies that the commit hooks defined in our .overcommit.yml
file are
the ones we expect. Each change to the .overcommit.yml
file, including the initial install
performed in the setup script, will necessitate a new signature.
For more information, see overcommit
If you want to develop without and internet connection, you can set
RAILS_OFFLINE=1
in your environment. This disables the mx
record
check on email addresses.
If you want to measure the app's performance in development, set the
rack_mini_profiler
option to 'on'
in config/application.yml
and
restart the server. See the rack_mini_profiler gem for more details.
If you want to visualize and query the event and log data, you can install the latest versions of Elasticsearch, Logstash, and Kibana. On OS X, the easiest way is with Homebrew:
brew tap homebrew/services
brew install elasticsearch logstash kibana # or brew upgrade if already installed
brew services start elasticsearch
brew services start kibana
Start logstash by running this command from this repo's root directory:
logstash -f logstash.conf
When you trigger an event in the app (such as signing in), you should see some output in the logstash window.
To explore the data with Kibana, visit http://localhost:5601
-
Download, install, and launch Docker
-
Set up the Docker image
$ bin/setup --docker
More useful Docker commands:
- Start the container:
docker-compose up
- Stop this running container:
docker-compose stop
- Stop and delete the containers:
docker-compose down
- Open a shell in the web container:
docker-compose run --rm web bash
See the Docker Compose docs for more information.
Once it is up and running, the app will be accessible
at http://localhost:3000/
. Email messages will be visible in MailCatcher
at http://localhost:1080/
.
Make sure you have PhantomJS installed prior to running
tests. On OS X, PhantomJS can be installed with Homebrew via: brew install phantomjs
. For other platforms, refer to the PhantomJS download
page.
To run all the tests:
$ make test
To run a subset of tests excluding slow tests (such as accessibility specs):
$ make fast_test
See RSpec docs for more information.
JavaScript unit tests will run automatically. However, when authoring JS specs, it is significantly faster to run them in the browser, as the whole test environment doesn't have to boot up each time. To view JS tests in the browser, visit /teaspoon/default while the application server is running.
Run security scanner
$ make brakeman
We have an automated tool for generating user flows using real views generated from the application. These specs are excluded from our typical spec run because of the overhead of generating screenshots for each view.
The local instance of the application must be running in order to serve up the assets (eg. make run
). Then, you can specify where the assets are hosted from and generate the views with:
$ RAILS_ASSET_HOST=localhost:3000 rake spec:user_flows
Then, visit http://localhost:3000/user_flows in your browser!
"skill in means" https://en.wikipedia.org/wiki/Upaya