Gru is an open source adaptive test system for screening candidates for software engineering roles. It helps us identify and recruit the right minions.
You can read more about why we built Gru on our blog. Gru uses Dgraph as the database.
Gru has three components, Gru server, Dgraph(v0.7.5) as the database and Caddy as a web server.
# Make sure you have Go installed on the server (https://golang.org/doc/install).
go get github.com/dgraph-io/gru
cd $GOPATH/src/github.com/dgraph-io/gru
go build .
./gru --user=<gru_ui_username> --pass=<gru_ui_password> --secret="<long_secret_to_sign_jwt_token>" --sendgrid="<sendgrid_api_key>" -ip "https://gru.dgraph.io" -debug=true 2>&1 | tee -a gru.log
- Note we use sendgrid for sending invite mails to the candidates. That won't work without the sendgrid
key. For development purposes when the
--sendgridflag is empty, we just print out the invite link for taking the quiz to the console. - The
-ipflag is used to specify the ip address of the Gru server.
wget https://github.com/dgraph-io/dgraph/releases/download/v0.7.5/dgraph-linux-amd64-v0.7.5.tar.gz
tar -xzvf dgraph-linux-amd64-v0.7.5.tar.gz
./dgraph/dgraph
In case you are reloading data into Dgraph from an export, you can use dgraphloader to load the rdf.gz exported file.
Dgraph runs on port 8080 by default.
Note, you should modify the the address on the first line of the admin/webUI/Caddyfile and also the
value of hostname in admin/webUI/app/app.module.js to either https://localhost:2020 for the purposes
of local development or to the address of your production server before running Caddy web server.
mkdir caddy
wget https://github.com/mholt/caddy/releases/download/v0.10.8/caddy_v0.10.8_linux_amd64.tar.gz
tar -xzvf caddy_v0.10.8_linux_amd64.tar.gz
./caddy --conf ../admin/webUI/Caddyfile
After this Gru should be up and running for you. You can visit https://localhost:2020 (if running locally) and login. Go ahead and add some questions, create some quizzes and invite some candidates.
