MODULE
PYTEST_HELM_CHARTS.K8S.DEPLOYMENT
Functions
wait_for_deployments_to_run(kube_client,deployment_names,deployments_namespace,timeout_sec,missing_ok)(list of Deployment) — Block until all the Deployments are running or timeout is reached.</>
function
pytest_helm_charts.k8s.deployment.wait_for_deployments_to_run(kube_client, deployment_names, deployments_namespace, timeout_sec, missing_ok=True)
Block until all the Deployments are running or timeout is reached.
Parameters
kube_client(HTTPClient) — client to use to connect to the k8s clusterdeployment_names(list of str) — a list of Deployment names to checkdeployments_namespace(str) — namespace where all the Deployments are created (single namespace for all resources)timeout_sec(int) — timeout for the callmissing_ok(bool, optional) — whenTrue, the function ignores that some of the objects listed in thedeployment_namesdon't exist in k8s API and waits for them to show up; whenFalse, apykube.exceptions.ObjectDoesNotExistexception is raised.
Returns (list of Deployment)
The list of Deployment resources with all the objects listed in deployment_names included.
Raises
TimeoutError— when timeout is reached.pykube.exceptions.ObjectDoesNotExist— whenmissing_ok == Falseand one of the objects listed indeployment_namescan't be found in k8s API