I have written a C++ program and set it up with docker/kubernetes hosted on Google Cloud using Github actions.
I have 3 active pods within my cluster and my c++ program basically takes a json as the input from a Django application and produces an output.
My current goal is to trigger a pod from django.
Right now I have written some code using the official Kubernetes Django package but I'm getting an error:
Here is what I have developed up until now:
from kubernetes import client, config, utils
import kubernetes.client
from kubernetes.client.rest import ApiException
# Set logging
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
# Setup K8 configs
# config.load_incluster_config("./kube-config.yaml")
config.load_kube_config("./kube-config.yaml")
configuration = kubernetes.client.Configuration()
api_instance = kubernetes.client.BatchV1Api(kubernetes.client.ApiClient(configuration))
I don't know much about the kube-config.yaml file so I have borrowed one code from the internet:
apiVersion: batch/v1beta1
kind: CronJob
metadata:
name: test
spec:
schedule: "*/5 * * * *"
jobTemplate:
spec:
template:
spec:
containers:
- name: test
image: test:v5
env:
imagePullPolicy: IfNotPresent
command: ['./CppProgram']
args: ['project.json']
restartPolicy: OnFailure
The yaml file and the python file are in the same directory.
But when I call this via a view i get this error on the console:
kubernetes.config.config_exception.ConfigException: Invalid kube-config file. No configuration found.
Is my load_kube_config call approach wrong or is my yaml file wrong? If so is there an example i can look into?
I saw this question asked before, I think according to here I should have used load_kube_config (I've already deployed to google kubernetes engine and the pods should be ready. ) but I'm not sure.
