The data analysis workflows platform deployment. The deployment consists of a Kubernetes virtual cluster (vcluster), in which Argo Workflows is deployed

Refer to https://diamondlightsource.github.io/workflows/docs for more explanations and tutorials for the workflows.

Deployment

The workflow engine can be deployed using Helm:

helm install workflows-cluster charts/workflows-cluster

This will install a virtual cluster together with Argo CD, which then installs all other services inside the vcluster including the workflow engine itself.

To connect to the virtual cluster and run a command inside the vcluster, use

vcluster connect workflows-cluster --silent -- <COMMAND>

Deployment in developer mode

helm install workflows-cluster charts/workflows-cluster -f charts/workflows-cluster/dev-values.yaml

If you wish to run workflows, you should override the uid in the workflows app with your own uid.

Serve Docs

Firstly, install mkdocs and the requisite dependencies in docs/requirements.txt; For this you may wish to use pipx, as:

pipx install mkdocs
pipx runpip mkdocs install -r docs/requirements.txt

Now, serve the docs with mkdocs:

Accessing the Argo CD dashboard

The Argo CD dashboard is available at https://argo-cd.workflows.diamond.ac.uk.

Frontend

The frontend directory contains all the react components for the workflows. The workflows-lib subdirectory containers all the pure components where as relay-workflows-lib contains relay components that fetches the data from a workflows proxy.

Refer to https://diamondlightsource.github.io/workflows/storybook to see all the components in storybook.