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Python client for Argo Workflows | Mirrored tohttps://github.com/argoproj-labs/argo-client-python

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CermakM/argo-client-python

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Python client for Argo Workflows

Installation

pip install argo-workflows

Usage

If you're familiar with Kubernetes client, the Argo client follows the same behaviour.

fromargo.workflows.clientimportV1alpha1Apifromargo.workflows.configimportload_kube_configload_kube_config()# loads local configuration from ~/.kube/config

And to list Workflows from a namespace (sayargo):

v1alpha1=V1alpha1Api()wfs=v1alpha1.list_namespaced_workflows(namespace="argo")

To submit aWorkflow, one would simply load it from a YAML* and submit it as such:

importrequestsimportyamlnamespace="argo"# hello-world exampleresp=requests.get("https://raw.githubusercontent.com/argoproj/argo/master/examples/hello-world.yaml")resp.raise_for_status()manifest:dict=yaml.safe_load(resp.text)# Submit the Workflow to the `argo` namespacev1alpha1.create_namespaced_workflow(namespace,manifest)

* When working on a higher level of abstraction, check out theArgo Python DSL

Versioning

The client is generated from the Argo and Kubernetes OpenAPI specification.

We follow semantic versioning, the client starts at version1.0 which matches Argo release2.3.0 and continues onwards.

Compatibility matrix

Argo 2.3Argo 2.4Argo 2.5
client-python 1.0--
client-python 2.0+-
client-python 3.0++

Key:

  • Exactly the same features / API objects in both client-python and the Kubernetesversion.
  • + client-python has features or api objects that may not be present in theKubernetes cluster, but everything they have in common will work.
  • - The Kubernetes cluster has features the client-python library can't use(additional API objects, etc).

We try to be consistent with Argo as much as possible and hence we created special branches for user convenience --- for exampleargo/v2.4.0 is identical with Argo releasev2.4.0.

These can be then installed directly from github:

pip install -e "git+git://github.com/CermakM/argo-client-python@argo/v2.4.0#egg=argo-workflows"

⚠️ The compatibility for such cases is not guaranteed

Code generation

If you wish to generate code yourself, you can do so by runningmake generate with theARGO_VERSION environment variable being set to the you want to generate the client for.

Before

in the Makefile:

For additional configuration check out theMakefile.

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