README.md

python_interface_to_workflows

Python alternative to creating and running argo workflows in the Data Analysis Platform

This provides a copier template and demonstrating how to use Hera to rewrite workflows using python.

What	Where
Source	https://github.com/DiamondLightSource/python-interface-to-workflows
Docker	docker run ghcr.io/diamondlightsource/python-interface-to-workflows:latest
Releases	https://github.com/DiamondLightSource/python-interface-to-workflows/releases

Using Copier

mkdir new_directory_path
cd new_directory_path
git init 
git remote add origin {origin ssh}
git branch -M main

cd ..

then either:

git clone git@github.com:DiamondLightSource/python-interface-to-workflows.git
copier copy {this_repo's_path} {new_directory_path}

or:

copier copy git@github.com:DiamondLightSource/python-interface-to-workflows.git .
code .

Then:

1. create a .env file in src
2. run uv lock
3. rebuild and reopen in container

To submit your yaml files in a notebook, append the following:

from python_workflow_submitter.submit_workflow import submit_workflow_yaml

await submit_workflow_yaml("example.yaml")

Alternatively:

import asyncio
import os

from python_workflow_submitter.submit_workflow import submit_workflow_yaml

asyncio.run(submit_workflow_yaml("example.yaml", visit=os.environ.get("VISIT")))