add python client #1
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Why are these changes needed?
Today we can create/update/delete rayclusters using kubectl, helm, etc. with yaml/JSON manifests describing the raycluster.
A Python library that can programmatically manage rayclusters (using kuberay) will enable Python applications running on top of Ray and using KubeRay to add/remove/update worker-groups on the fly.
This library enables the application itself to scale the worker-groups horizontally and vertically.
Use case
Two main use cases:
1- Enable a Python application to programmatically manage rayclusters (using kuberay) without the need to deal with YAML/JSON files.
2- We can use this KubeRay Python Client Library in our tests (E2E/Integration) to manage rayclusters without having to run kubectl command from our tests that are written in Python
Related issue number
ray-project#899
Checks
This PR include its own test files with
88%
test coverage.