locker_and_study_spaces

An application to manage and reserve locker and study spaces for the library. This is a replacement for the system already developed on lib-dbserver

Ruby version

3.4.1

System dependencies

• Node
• Yarn
• Rails
• Bundler

Configuration

• Bundle & Yarn install

  bundle install
  yarn install
  

Database creation

• bundle exec rake servers:start

Database seeding for development

• If you want a set of example data for development, seed the database.
• This data includes fake lockers and study spaces for Firestone, and users with fake UIDs.
• This seed data should not be used in a production environment.
• You can uncomment or comment lines at the beginning of the file depending on whether you want to default to the Lewis features being on or off, and whether you want to be a Lewis admin, a Firestone admin, or have which building you are an admin of be randomly assigned.

bundle exec rails db:seed

• If you want to see what your database will look like from a fresh seed, run

bundle exec rails db:seed:replant

Development

• start the rails server

  bundle exec rails s
  

• run mail catcher run once

  gem install mailcatcher
  

  run every time

  mailcatcher
  

  you can see the mail that has been sent here

Staging Mail Catcher

To see mail that has been sent on the staging server you must ssh tunnel into the server

ssh -L 1082:localhost:1080 pulsys@lockers-and-study-spaces-staging1

Once the tunnel is open you can see the mail that has been sent on staging here

Running the tests

• To run all the ruby tests, run bundle exec rspec
• To run a specific ruby test, run bundle exec rspec path/to/some_spec.rb:line_number
• To run the js tests, run yarn test

Troubleshooting the tests

If you have unexplained failures in the feature specs locally, but not in CI, it could be that an older version of Lux is hanging around causing trouble. Try moving the old repo and re-cloning from github, and see whether that fixes the issue.

Running eslint

yarn run lint

Deployment instructions

We us capistrano for deployment. Run cap staging deploy to deploy the main branch to staging. Run BRANCH=mine cap staging deploy to deploy the min branch to staging