Liquid Feedback is an open-source application that enables internet platforms for proposition development and decision making.
This helm chart provides a full automatic installation/upgrade and scaleable version of liquid feedback.
Features:
- Zalandao Postegres Operator support
- auto sql upgrade
- admin user managment
- horizontal scaleable
- LDAP support (WIP)
- OAUTH2 support
Add the helm registry to your installation
helm repo add liquid-feedback https://b1-systems.github.io/liquid-feedback-helm/
Then use:
helm install lf liquid-feedback/liquid-feedback
Please note that the default settings use the Zalandao Postegres Operator.
Fill the adminUsers array. In case the liquid-feedback-update pod did not restart,
delete the pod. Example:
kubectl delete pod $(kubectl get pods --namespace default -l "app.kubernetes.io/name=liquid-feedback-update,app.kubernetes.io/instance=lf" -o jsonpath="{.items[0].metadata.name}")
Assuming your helm name is lf.
Since ldap mapping is quite complex, it needs to me configured with a lua snippet.
Enable ldap.enable and adjust the ldap.config to match your organization.
warning: Any misstake in the ldap configuration will result in denied login with no hint in log files or login error messages. The units given in the privilege_map must exist.
Using the oauth2 client requires special dynamic configuration and environment variables to pin SSL certificates. Since oauth is undocumented, no successful oauth2 client was archived.
Install the nix package manager. This does not require NixOS, but can be installed on any linux os.
run nix develop to enter development shell.
Run help for commands.
It uses minikube to provide a dev environment.
You can use the Docker file to build a fully self contained version for testing etc.
The project's source code has a lot of dependencies and requires a lot of tedious steps to build. This Dockerfile simplifies this process and allows interested developers and organizations to quickly build and run a Liquid Feedback server using a Docker container.
To build an image go to the Dockerfile dir and do:
`docker build -t liquid-feedback .`
The kubernetes version with:
`docker build -t liquid-feedback-k8s . --build-arg K8S=1`
To run the server do:
`docker run -p 127.0.0.1:8080:8080 liquid-feedback`
And connect a browser to http://localhost:8080 and login with user admin and empty password