paravatha/paravatha-argo-workflows-hera

Hera is an Argo Python SDK. Hera aims to make construction and submission of various Argo Project resources easy and accessible to everyone! Hera abstracts away low-level setup details while still maintaining a consistent vocabulary with Argo. ⭐️ Star the repo if you like it!

Hera

Hera is a Python framework for constructing and submitting Argo Workflows. The main goal of Hera is to make the Argo ecosystem accessible by simplifying workflow construction and submission.

See the Quick Start guide to start using Hera to orchestrate your Argo Workflows!

The Argo was constructed by the shipwright Argus,
and its crew were specially protected by the goddess Hera.

Links

PyPi stats for hera

PyPi stats for hera-workflows

⚠ Note ⚠ The hera-workflows package is deprecated since the project renamed to Hera for V5. Please install from the hera PyPi package.

Hera at a glance

Steps diamond

from hera.workflows import Steps, Workflow, script

@script()
def echo(message: str):
    print(message)

with Workflow(
    generate_name="single-script-",
    entrypoint="steps",
) as w:
    with Steps(name="steps") as s:
        echo(name="A", arguments={"message": "I'm a step"})
        with s.parallel():
            echo(name="B", arguments={"message": "We're steps"})
            echo(name="C", arguments={"message": "in parallel!"})
        echo(name="D", arguments={"message": "I'm another step!"})

w.create()

DAG diamond

from hera.workflows import DAG, Workflow, script

@script()
def echo(message: str):
    print(message)

with Workflow(
    generate_name="dag-diamond-",
    entrypoint="diamond",
) as w:
    with DAG(name="diamond"):
        A = echo(name="A", arguments={"message": "A"})
        B = echo(name="B", arguments={"message": "B"})
        C = echo(name="C", arguments={"message": "C"})
        D = echo(name="D", arguments={"message": "D"})
        A >> [B, C] >> D

w.create()

See the examples for a collection of Argo workflow construction and submission via Hera!

Requirements

Hera requires an Argo server to be deployed to a Kubernetes cluster. Currently, Hera assumes that the Argo server sits behind an authentication layer that can authenticate workflow submission requests by using the Bearer token on the request. To learn how to deploy Argo to your own Kubernetes cluster you can follow the Argo Workflows guide!

Another option for workflow submission without the authentication layer is using port forwarding to your Argo server deployment and submitting workflows to localhost:2746 (2746 is the default, but you are free to change it). Please refer to the documentation of Argo Workflows to see the command for port forward!

Note Since the deprecation of tokens being automatically created for ServiceAccounts and Argo using Bearer tokens in place, it is necessary to use --auth=server and/or --auth=client when setting up Argo Workflows on Kubernetes v1.24+ in order for hera to communicate to the Argo Server.

Authenticating in Hera

There are a few ways to authenticate in Hera - read more in the authentication walk through - for now, with the argo cli tool installed, this example will get you up and running:

from hera.workflows import Workflow, Container
from hera.shared import global_config
from hera.auth import ArgoCLITokenGenerator

global_config.host = "http://localhost:2746"
global_config.token = ArgoCLITokenGenerator

with Workflow(generate_name="local-test-", entrypoint="c") as w:
    Container( name="c", image="docker/whalesay", command=["cowsay", "hello"])

w.create()

Installation

Note Hera went through a name change - from hera-workflows to hera. This is reflected in the published Python package. If you'd like to install versions prior to 5.0.0, you have to use hera-workflows. Hera currently publishes releases to both hera and hera-workflows for backwards compatibility purposes.

Source	Command
PyPi	pip install hera
PyPi	pip install hera-workflows
Conda	conda install -c conda-forge hera-workflows
GitHub repo	python -m pip install git+https://github.com/argoproj-labs/hera --ignore-installed/pip install .

Optional dependencies

yaml

• Install via hera[yaml]
• PyYAML is required for the yaml output format, which is accessible via hera.workflows.Workflow.to_yaml(*args, **kwargs). This enables GitOps practices and easier debugging.

Presentations

• Argo Workflows and Events Community Meeting 20 Oct 2021 - Hera introductory presentation
• Argo Workflows and Events Community Meeting 15 June 2022 - Hera project update
• KubeCon/ArgoCon EU 2023 - Scaling gene therapy with Argo Workflows and Hera
• DoKC Town Hall #2 - Unsticking ourselves from Glue - Migrating PayIt's Data Pipelines to Argo Workflows and Hera
• KubeCon / ArgoCon NA 2023 - How to Train an LLM with Argo Workflows and Hera
  • Featured code
• CNCF TAG App-Delivery @ KubeCon NA 2023 - Automating the Deployment of Data Workloads to Kubernetes with ArgoCD, Argo Workflows, and Hera

Blogs

• Data Validation with Great Expectations and Argo Workflows
• Hera introduction and motivation
• Dyno is scaling gene therapy research with cloud-native tools like Argo Workflows and Hera

Contributing

See the contributing guide!