postgres-operator/e2e/tests/test_smoke.py

147 lines
5.4 KiB
Python
Executable File

import unittest
import time
import timeout_decorator
import subprocess
import warnings
import docker
from halo import Halo
from kubernetes import client, config, utils
class SmokeTestCase(unittest.TestCase):
'''
Test the most basic functions of the operator.
'''
TEST_TIMEOUT_SEC = 600
RETRY_TIMEOUT_SEC = 5
@classmethod
@timeout_decorator.timeout(TEST_TIMEOUT_SEC)
def setUpClass(cls):
'''
Deploy operator to a "kind" cluster created by /e2e/run.sh using examples from /manifests.
This operator deployment is to be shared among all tests.
/e2e/run.sh deletes the 'kind' cluster after successful run along with all operator-related entities.
In the case of test failure the cluster will stay to enable manual examination;
next invocation of "make e2e" will re-create it.
'''
k8s_api = K8sApi()
# HACK
# 1. creating RBAC entites with a separate client fails
# with "AttributeError: object has no attribute 'select_header_accept'"
# 2. utils.create_from_yaml cannot create multiple entites from a single file
subprocess.run(["kubectl", "create", "-f", "manifests/operator-service-account-rbac.yaml"])
for filename in ["configmap.yaml", "postgres-operator.yaml"]:
utils.create_from_yaml(k8s_api.k8s_client, "manifests/" + filename)
# submit the most recent operator image built locally
# HACK assumes "images list" returns the most recent image at index 0
docker_client = docker.from_env()
image = docker_client.images.list(name="registry.opensource.zalan.do/acid/postgres-operator")[0].tags[0]
body = {
"spec": {
"template": {
"spec": {
"containers": [
{
"name": "postgres-operator",
"image": image
}
]
}
}
}
}
k8s_api.apps_v1.patch_namespaced_deployment("postgres-operator", "default", body)
# TODO check if CRD is registered instead
Utils.wait_for_pod_start(k8s_api, 'name=postgres-operator', cls.RETRY_TIMEOUT_SEC)
# HACK around the lack of Python client for the acid.zalan.do resource
subprocess.run(["kubectl", "create", "-f", "manifests/minimal-postgres-manifest.yaml"])
Utils.wait_for_pod_start(k8s_api, 'spilo-role=master', cls.RETRY_TIMEOUT_SEC)
@timeout_decorator.timeout(TEST_TIMEOUT_SEC)
def test_master_is_unique(self):
"""
Check that there is a single pod in the k8s cluster with the label "spilo-role=master".
"""
k8s = K8sApi()
labels = 'spilo-role=master,version=acid-minimal-cluster'
num_of_master_pods = Utils.count_pods_with_label(k8s, labels)
self.assertEqual(num_of_master_pods, 1, "Expected 1 master pod, found {}".format(num_of_master_pods))
@timeout_decorator.timeout(TEST_TIMEOUT_SEC)
def test_scaling(self):
"""
Scale up from 2 to 3 pods and back to 2 by updating the Postgres manifest at runtime.
"""
k8s = K8sApi()
labels = "version=acid-minimal-cluster"
Utils.wait_for_pg_to_scale(k8s, 3, self.RETRY_TIMEOUT_SEC)
self.assertEqual(3, Utils.count_pods_with_label(k8s, labels))
# TODO `kind` pods may stuck in the Terminating state for a few minutes; reproduce/file a bug report
Utils.wait_for_pg_to_scale(k8s, 2, self.RETRY_TIMEOUT_SEC)
self.assertEqual(2, Utils.count_pods_with_label(k8s, labels))
class K8sApi:
def __init__(self):
# https://github.com/kubernetes-client/python/issues/309
warnings.simplefilter("ignore", ResourceWarning)
self.config = config.load_kube_config()
self.k8s_client = client.ApiClient()
self.core_v1 = client.CoreV1Api()
self.crd = client.CustomObjectsApi()
self.apps_v1 = client.AppsV1Api()
class Utils:
@staticmethod
def wait_for_pod_start(k8s_api, pod_labels, retry_timeout_sec):
pod_phase = 'No pod running'
with Halo(text="Wait for the pod '{}' to start. Pod phase: {}".format(pod_labels, pod_phase), spinner='dots'):
while pod_phase != 'Running':
pods = k8s_api.core_v1.list_namespaced_pod('default', label_selector=pod_labels).items
if pods:
pod_phase = pods[0].status.phase
time.sleep(retry_timeout_sec)
@staticmethod
def wait_for_pg_to_scale(k8s_api, number_of_instances, retry_timeout_sec):
body = {
"spec": {
"numberOfInstances": number_of_instances
}
}
_ = k8s_api.crd.patch_namespaced_custom_object("acid.zalan.do",
"v1", "default", "postgresqls", "acid-minimal-cluster", body)
labels = 'version=acid-minimal-cluster'
with Halo(text="Waiting for the cluster to scale to {} pods.".format(number_of_instances), spinner='dots'):
while Utils.count_pods_with_label(k8s_api, labels) != number_of_instances:
time.sleep(retry_timeout_sec)
@staticmethod
def count_pods_with_label(k8s_api, labels):
return len(k8s_api.core_v1.list_namespaced_pod('default', label_selector=labels).items)
if __name__ == '__main__':
unittest.main()