Kubernetes Python Client Returns "Running" Status for Terminating Pods Instead of "Terminating"

[RichwithPoor]

When using list_namespaced_pod() or list_pod_for_all_namespaces() from the Python Kubernetes client, pods that are in the process of being deleted (showing "Terminating" status in kubectl) continue to report their status as "Running" until they completely disappear from the cluster.

What happened:
When a pod is being deleted (kubectl delete pod )
kubectl get pods correctly shows status "Terminating"
However, both list_namespaced_pod() and list_pod_for_all_namespaces() keep reporting the status as "Running"
This persists until the pod is completely removed from the cluster

What you expected to happen:
The Python client should return "Terminating" status when a pod is in the deletion process, matching kubectl behavior

Environment:

• Kubernetes version (kubectl version): v1.31.0
• OS (e.g., MacOS 10.13.6): Macbook 14.5 (23F79)
• Python version (python --version) Python 3.12.2
• Python client version (pip list | grep kubernetes) 32.0.1

[roycaihw]

The response should come from the api-server. This client doesn't cache the status.

I wonder if this could be caused by using resource version when listing the pods, and the response in from a cached version in the api-server. Could you share more on how you make the call and how to reproduce the issue?

[p172913]

/assign

[RichwithPoor]

v1 = client.CoreV1Api()
pods = v1.list_namespaced_pod(namespace, label_selector=label_selector)
pod_status_list = [{
"name": pod.metadata.name,
"ip": pod.status.pod_ip,
"status": pod.status.phase,
"container_name": pod.spec.containers[0].name if pod.spec.containers else "None"
} for pod in pods.items]

This is currently the case. When the pod enters the terminal, the fetch is still Running