OpenShift AI Unleashed: Transforming Claims Processing for Maximum Efficiency!
Introduction
This repository contains the code, instructions, resources and materials associated with the Lab called OpenShift AI Unleashed: Transforming Claims Processing for Maximum Efficiency!.
To consult the static version of the instructions, please use this URL
If you want to participate in the creation and update of this content, please consult the sections below.
Display Development-centric information
## General Development Information
### Working with this repo
- `main` branch is the one used for production. That's where the Prod and Test catalog items from [demo.redhat.com](https://demo.redhat.com) point to (instructions, materials used,...).
- `dev` branch is for development. That's where the Dev catalog item points to.
- Branches are made from `dev` (hot fixes could be made from `main` if really needed).
- When ready, PRs should be made to `dev`. Once all features, bug fixes,... are checked in and tested for a new release, another PR will be made from `dev` to `main`.
- Branches must be prefixed with `/feature` (example `feature/new-pipeline-instructions`), `bugfix`, or other meaningful info.
- Add your name/handle in the branch name if needed to avoid confusion.
- If your development relates to an Issue or a Feature Request, add its reference in the branch name.
- Try to stash your changes before submitting a PR.
## How to update the **Instructions**
Useful link: [https://redhat-scholars.github.io/build-course/rhs-build-course/develop.html](https://redhat-scholars.github.io/build-course/rhs-build-course/develop.html)
### Requirements
- Podman or Docker
### Development
- Add/Modify/Delete content in [content/modules/ROOT](content/modules/ROOT).
- Navigation is handled in `nav.adoc`.
- Content pages are in the `pages` folder.
- To build the site, from the root of the repo, run `./content/utilities/lab-build`.
- To serve the site for previewing, from the root of the repo, run `./content/utilities/lab-serve`.
- The site will be visible at [http://localhost:8443/](http://localhost:8443/)
- When finished, you can stop serving the site by running from the root of the repo `./content/utilities/lab-stop`.
## How to update the **Application**
### Requirements
- Python 3.11
- Nodejs > 18
- An existing instance of Hugging Face TGI with a loaded model available at `INFERENCE_SERVER_URL`. This application is based on Mistral-TB Prompt format. You will need to modify this format if you are using a different model.
### Installation
Run `npm install` from the main folder.
If you want to install packages manually:
- In the `frontend` folder, install the node modules with `npm install`.
- In the `backend` folder, create a venv and install packages with the provided Pipfile/Pipfile.lock files.
- In the `backend` folder, create the file `.env` base on the example `.env.example` and enter the configuration for the Inference server.
### Development
From the main folder, launch `npm run dev` or `./start-dev.sh`. This will launch both backend and frontend.
- Frontend is accessible at `http://localhost:9000`
- Backend is accessible at `http://localhost:5000`, with Swagger API doc at `http://localhost:5000/docs`
```bash
#!/bin/bash
# Script to restart all showroom pods - You must be logged in as a cluster admin to run this script
# Get all namespaces
namespaces=$(oc get namespaces -o jsonpath='{.items[*].metadata.name}' \
| tr ' ' '\n' \
| grep '^showroom')
# Stop all the pods
for namespace in $namespaces; do
# Check if the deployment "showroom" exists in the namespace
if oc -n $namespace get deployment showroom &> /dev/null; then
# If it exists, restart the rollout
# oc -n $namespace rollout restart deployment/showroom
oc -n $namespace scale deploy showroom --replicas=0
fi
done
# wait for them all to fully stop
# start all the pods
for namespace in $namespaces; do
# Check if the deployment "showroom" exists in the namespace
if oc -n $namespace get deployment showroom &> /dev/null; then
# If it exists, restart the rollout
# oc -n $namespace rollout restart deployment/showroom
oc -n $namespace scale deploy showroom --replicas=1
fi
done
```
## How to graduate code from dev to main
- From `dev`, create a new branch, like `feature/prepare-for-main-merge`.
- Modify the following files to make their relevant content point to `main`:
- `bootstrap/applicationset/applicationset-bootstrap.yaml`
- `content/antora.yml`
- `content/modules/ROOT/pages/05-03-web-app-deploy-application.adoc`
- Make a pull request from this branch to `main`, review and merge
Links for Summit event environment assignment
- URL for all labs: [https://one.demo.redhat.com/](https://one.demo.redhat.com/)
- Search for `parasol`