通过 REST 调用启动 Argo 工作流

Question

I am exploring Argo to orchestrate processing big data. I wish to kick off a workflow via REST call that divides a large data set among a number of machines with desired resources for processing. From an architectural perspective, how would I accomplish this? Is there an REST api or maybe some libraries for Node.js that I can use?

Answer 1

Argo 2.5 introduces its own API .

There are currently officially-supported Golang and Java clients. There is also a community-supported Python client. Updates will be available here: https://github.com/argoproj-labs/argo-client-gen

Argo provides Swagger API specs, so it should be reasonably easy to generate clients for other languages.

Answer 2

According to Argo documentation :

Argo is implemented as a kubernetes controller and Workflow Custom Resource . Argo itself does not run an API server, and with all CRDs, it extends the Kubernetes API server by introducing a new API Group/Version ( argorproj.io/v1alpha1 ) and Kind ( Workflow ). When CRDs are registered in a cluster, access to those resources are made available by exposing new endpoints in the kubernetes API server.
For example, to list workflows in the default namespace, a client would make an HTTP GET request to:

 https://<k8s-api-server>/apis/argoproj.io/v1alpha1/namespaces/default/workflows

You can find examples for Golang, Python, Java, Ruby, OpenAPI following this link .

So, you can generate a YAML file describing Argo Workflow resources and send it to the Kubernetes API as described in the examples.

I hope it helps.