A prebuilt image exists on
Dockerhub, which you
can pull and run straight away. We recommend using a .env
file for storing
your environment variables, but you could also just pass them into your docker
run command.
Copy example file and add your UCL API client ID and secret keys. Also, set
SECRET
to a random value; this will be used for session keys. You can also add
a custom internal port for the server to run on, but for all intents and
purposes, leaving it works fine too (especially if running with Docker and/or
Kubernetes).
$ cp .env.example .env
$ nano .env
UCLAPI_CLIENT_ID=???
UCLAPI_CLIENT_SECRET=???
SECRET=???
Build k8s secret from the env file created earlier.
$ kubectl create secret generic ucl-assistant-backend-secret --from-env-file='.env'
Now create the deployments and services from the YAML files:
$ kubectl create -f ../deployment/backend.yaml
$ kubectl create -f ../deployment/backend-service.yaml
And then the service will start up as ucl-assistant-backend
.