# login AKS
# az cloud set --name AzureCloud   # Switch CLI to Azure cloud
# az login                              # Log in to Azure China account (browser or device code flow)
# az account set -s 079d8bd8-b4cc-4892-9307-aa6dedf890e9 #! set subs
# az aks get-credentials -g rg-aiflow-lab -n aks-aiflow-lab --overwrite-existing --file ~/.kube/config
kubectl config use-context aks-aiflow-lab
kubectl config current-context

# kubectl create secret generic azure-files-cred \
#   --from-literal=azurestorageaccountname=saaisearchlab \
#   --from-literal=azurestorageaccountkey=xxxxxxxxxxxxxxxxxxxx \
#   -n knowledge-agent            

# kubectl delete configmap document-ai-indexer-config -n knowledge-agent

docker build . -t document-ai-indexer:2.0.2
docker tag document-ai-indexer:2.0.2 acraiflowlab.azurecr.io/document-ai-indexer:2.0.2
docker push acraiflowlab.azurecr.io/document-ai-indexer:2.0.2


# dev
kubectl delete configmap document-ai-indexer-config -n knowledge-agent
kubectl create configmap document-ai-indexer-config -n knowledge-agent --from-file=env.yaml --from-file=config.yaml

# kubectl create namespace knowledge-agent

# # kubectl delete pod document-ai-indexer -n knowledge-agent
# kubectl apply -f document-ai-indexer_k8s.yml -n knowledge-agent

# kubectl logs -f document-ai-indexer  -n knowledge-agent

# Deploy CronJob
kubectl apply -f deploy/dev/document-ai-indexer-cronjob.yml --namespace knowledge-agent

# Check CronJob Status
kubectl get cronjobs -n knowledge-agent --namespace knowledge-agent
# Check Job Execution History
kubectl get jobs -n knowledge-agent --namespace knowledge-agent

###########
# Manually trigger a job (for testing)
kubectl delete job manual-test -n knowledge-agent
kubectl create job --from=cronjob/document-ai-indexer-cronjob manual-test -n knowledge-agent
# Check Job Logs
kubectl logs -f job/manual-test -n knowledge-agent