Monocle

Monocle is company and job seeking tool for the Turing School community. It's purpose is to provide access to a large directory of technical companies that can be navigated in a simple and intuitive way. Once signed in, users will have the option to star companies and listings they are interested in to review at a later time. It can be accessed with a TuringSchool Census account, which you will be prompted to create from Monocle..

Monocle has 2 Heroku sites for you to use:

Behind the Scenes

Ruby version: 2.3.1
Database: Postgresql
Rails version: 5.0.1

Setting up the Development Environment

Fork this Repo
Run bundle install
You will need API Keys for Census, Google Maps, and AWS.
Install Figaro to access the application.yml file and place your keys in with this syntax to ensure matching variables:

S3_KEY: "enter_key"
S3_SECRET: "enter_key"
S3_REGION: "region_from_AWS"
S3_DIRECTORY: "directory_from_AWS"

census_id: enter_key
census_secret: enter_key

google_maps_key: "enter_key"

run rake db:create
run rake db:migrate
run rake db:seed

The project uses RSPEC for testing; run rspec in the terminal to run the test suite.

Authentication

Monocle is authenticated through Census. Depending on the environment you are trying use Census in, use the following in your Gemfile:

Staging:

gem 'omniauth'
gem 'omniauth-census', git: "https://github.com/NZenitram/census_staging_oauth"

Note: to avoid SSL issues while running the application locally, follow these steps

Production:

gem 'omniauth'
gem 'omniauth-census', git: "https://github.com/turingschool-projects/omniauth-census"

LookingFor

Monocle maintains a close relationship with LookingFor. LookingFor is a job aggregator that finds jobs and associates them with companies in Monocle. If the jobs are available for the given company, they will appear on that company's show page.

Important Rake tasks

The job listener task that subsribes to the queue of incoming jobs is started by running the following command:
rake job_fetch:joblistener

In Rails console, run the following command to load individual files from data: SeedFixtureData.run("data/formatted_for_rake/<filename>")