wederbn / qhana-workflow-low-code

qhana-workflow-low-code

This repository shows an example workflow orchestrating different QHAna plugins.

Setting up the Environment

First, start the QHAna plugin runner using the docker setup provided here.

The Camunda workflow engine is dockerized and can be automatically started and initialized with the example workflow using Docker-Compose:

1. Update the .env file with your settings:

• PUBLIC_HOSTNAME: Enter the hostname/IP address of your Docker engine. Do not use localhost.

2. Run the Docker-Compose file:

docker-compose pull
docker-compose up --build

Running the Workflow

To execute the workflow, open $PUBLIC_HOSTNAME:8080 after the Docker container has been started successfully to access the Camunda Engine UI:

1. Create a new user and login.

2. Open the Tasklist application which can be accessed by using the button in the top-right corner.

3. Click on Start process and select the quantum-workflow-demonstrator.

4. Provide the required input parameters, e.g., the input data provided in this repository https://github.com/wederbn/qhana-workflow-low-code/blob/main/data/sym_max_mean.zip?raw=true)

5. Start the workflow.

6. Switch to the Cockpit application to monitor the token flow and the current variables of the workflow instance.

7. Once the workflow instance reaches the final User Task, switch back to the Tasklist application and click on Add a simple filter on the left.

8. Afterwards, a task object is displayed. Select this task object and retrieve the final clustering results..

9. Finally, click on Complete to terminate the workflow instance.

10. To shut down the setup, run docker-compose down -v in the folder containing the Docker-Compose file.