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