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in_cluster_config.py
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# Copyright 2017 The Kubernetes Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Simple example to show loading config from the cluster
#
# If you get 403 errors from API server you will have to configure
# RBAC to add necessay permissions.
#
# ---
# kind: ClusterRole
# apiVersion: rbac.authorization.k8s.io/v1
# metadata:
# name: pods-list
# rules:
# - apiGroups: [""]
# resources: ["pods"]
# verbs: ["list"]
# ---
# kind: ClusterRoleBinding
# apiVersion: rbac.authorization.k8s.io/v1
# metadata:
# name: pods-list
# subjects:
# - kind: ServiceAccount
# name: default
# namespace: default
# roleRef:
# kind: ClusterRole
# name: pods-list
# apiGroup: rbac.authorization.k8s.io
# ---
#
# Doc: https://kubernetes.io/docs/reference/access-authn-authz/rbac/
#
# This example can be run from the image: https://hub.docker.com/r/tpimages/kubernetes_asyncio_examples/
#
# $ kubectl run kubernetes-asyncio-examples --image tpimages/kubernetes_asyncio_examples
#
import asyncio
import sys
import traceback
from kubernetes_asyncio import client, config
async def main():
while True:
try:
# it works only if this script is run by K8s as a POD
config.load_incluster_config()
v1 = client.CoreV1Api()
print("Listing pods with their IPs:")
ret = await v1.list_pod_for_all_namespaces()
for i in ret.items:
print(i.status.pod_ip, i.metadata.namespace, i.metadata.name)
except Exception:
traceback.print_exc(file=sys.stdout)
finally:
print("sleep 10s")
await asyncio.sleep(10)
if __name__ == "__main__":
loop = asyncio.get_event_loop()
loop.run_until_complete(main())
loop.close()