def test_tainted_scale_set(self):
region = 'test'
mock_client, monitor_client, resource_client = _default_mock_clients(
region)
instance_type = 'Standard_NC24'
resource_group = 'test-resource-group'
scale_set = AzureScaleSet(region,
resource_group,
'test-scale-set',
instance_type,
0,
'Succeeded',
no_schedule_taints={'gpu': 'yes'})
virtual_scale_set = AzureVirtualScaleSet(
region, resource_group,
AzureWrapper(mock_client, monitor_client, resource_client),
instance_type, True, [scale_set], [])
dir_path = os.path.dirname(os.path.realpath(__file__))
with open(os.path.join(dir_path, 'data/busybox.yaml'), 'r') as f:
dummy_pod = yaml.load(f.read())
pod = KubePod(pykube.Pod(None, dummy_pod))
self.assertFalse(virtual_scale_set.is_taints_tolerated(pod))
dummy_pod['spec']['tolerations'] = [{
'key': 'gpu',
'operator': 'Exists'
}]
pod = KubePod(pykube.Pod(None, dummy_pod))
self.assertTrue(virtual_scale_set.is_taints_tolerated(pod))
def test_scale_up_notification(self):
big_pod_spec = copy.deepcopy(self.dummy_pod)
for container in big_pod_spec['spec']['containers']:
container['resources']['requests']['cpu'] = '100'
pod = KubePod(pykube.Pod(self.api, self.dummy_pod))
big_pod = KubePod(pykube.Pod(self.api, big_pod_spec))
selectors_hash = utils.selectors_to_hash(pod.selectors)
asgs = self.cluster.autoscaling_groups.get_all_groups([])
self.cluster.fulfill_pending(asgs, selectors_hash, [pod, big_pod])
self.cluster.notifier.notify_scale.assert_called_with(mock.ANY, mock.ANY, [pod])
def test_scale_down_under_utilized_undrainable(self):
"""
kube node with daemonset and pod/rc-pod --> noop
"""
node = self._spin_up_node()
all_nodes = [node]
managed_nodes = [n for n in all_nodes if node.is_managed()]
running_insts_map = self.cluster.get_running_instances_map(
managed_nodes)
pods_to_schedule = {}
asgs = self.cluster.autoscaling_groups.get_all_groups(all_nodes)
# create some undrainable pods
ds_pod = KubePod(pykube.Pod(self.api, self.dummy_ds_pod))
for container in self.dummy_pod['spec']['containers']:
container.pop('resources', None)
pod = KubePod(pykube.Pod(self.api, self.dummy_pod))
self.dummy_rc_pod['metadata']['labels']['openai/do-not-drain'] = 'true'
for container in self.dummy_rc_pod['spec']['containers']:
container.pop('resources', None)
rc_pod = KubePod(pykube.Pod(self.api, self.dummy_rc_pod))
pod_scenarios = [
# kube node with daemonset and pod with no resource ask --> noop
[ds_pod, pod],
# kube node with daemonset and critical rc pod --> noop
[ds_pod, rc_pod]
]
# make sure we're not on grace period
self.cluster.idle_threshold = -1
self.cluster.type_idle_threshold = -1
self.cluster.LAUNCH_HOUR_THRESHOLD = -1
for pods in pod_scenarios:
state = self.cluster.get_node_state(node, asgs[0], pods,
pods_to_schedule,
running_insts_map,
collections.Counter())
self.assertEqual(state,
ClusterNodeState.UNDER_UTILIZED_UNDRAINABLE)
self.cluster.maintain(managed_nodes, running_insts_map,
pods_to_schedule, pods, asgs)
response = self.asg_client.describe_auto_scaling_groups()
self.assertEqual(len(response['AutoScalingGroups']), 1)
self.assertEqual(
response['AutoScalingGroups'][0]['DesiredCapacity'], 1)
node.cordon.assert_not_called()
def test_get_pending_pods(self):
dummy_node = copy.deepcopy(self.dummy_node)
dummy_node['metadata']['name'] = 'k8s-agentpool1-16334397-0'
node = KubeNode(pykube.Node(self.api, dummy_node))
pod = KubePod(pykube.Pod(self.api, self.dummy_pod))
act = self.cluster.get_pending_pods([pod], [node])
self.assertEqual(len(act), 0)
node = KubeNode(pykube.Node(self.api, dummy_node))
pod2 = KubePod(pykube.Pod(self.api, self.dummy_pod))
pod3 = KubePod(pykube.Pod(self.api, self.dummy_pod))
act = self.cluster.get_pending_pods([pod, pod2, pod3], [node])
#only one should fit
self.assertEqual(len(act), 2)
def test_pod_exists(api, requests_mock):
with requests_mock as rsps:
obj = {
"apiVersion": "v1",
"kind": "Pod",
"metadata": {
"name": "my-pod"
},
"spec": {
"containers": []
},
}
pod = pykube.Pod(api, obj)
rsps.add(
responses.GET,
"https://localhost:9443/api/v1/namespaces/default/pods/my-pod",
status=404,
)
assert not pod.exists()
with pytest.raises(ObjectDoesNotExist):
pod.exists(ensure=True)
rsps.replace(
responses.GET,
"https://localhost:9443/api/v1/namespaces/default/pods/my-pod",
json={},
)
assert pod.exists()
def shell(self):
podSpec = self._get_shell_pod()
if self._find_obj(pykube.Pod, self.shell_label_selector) is None:
pykube.Pod(self.api, podSpec).create()
if not self._wait_for_pod(self.shell_label_selector):
print("Pod is not ready in time")
self._delete_obj(pykube.Pod, self.shell_label_selector)
sys.exit(1)
kubectl = subprocess.Popen([
'/usr/bin/kubectl',
'attach',
'--tty',
'--stdin',
'interactive'
])
kubectl.wait()
# kubectl attach prints the following when done: Session ended, resume
# using 'kubectl attach interactive -c interactive -i -t' command when
# the pod is running
# This isn't true, since we actually kill the pod when done
print("Pod stopped. Session cannot be resumed.")
self._delete_obj(pykube.Pod, self.shell_label_selector)
def test_scale_down(self):
"""
kube node with daemonset and no pod --> cordon
"""
node = self._spin_up_node()
node.cordon = mock.Mock(return_value="mocked stuff")
node.drain = mock.Mock(return_value="mocked stuff")
all_nodes = [node]
managed_nodes = [n for n in all_nodes if node.is_managed()]
running_insts_map = self.cluster.get_running_instances_map(managed_nodes)
pods_to_schedule = {}
asgs = self.cluster.autoscaling_groups.get_all_groups(all_nodes)
ds_pod = KubePod(pykube.Pod(self.api, self.dummy_ds_pod))
running_or_pending_assigned_pods = [ds_pod]
self.cluster.idle_threshold = -1
self.cluster.type_idle_threshold = -1
self.cluster.maintain(
managed_nodes, running_insts_map,
pods_to_schedule, running_or_pending_assigned_pods, asgs)
response = self.asg_client.describe_auto_scaling_groups()
assert len(response['AutoScalingGroups']) == 1
assert response['AutoScalingGroups'][0]['DesiredCapacity'] == 1
node.cordon.assert_called_once_with()
def terminate(self, name):
"""Terminate a service.
It will terminate Service, then ReplicationController and Pods have the same labels."""
del_obj = {
'apiVersion': 'v1',
'kind': '',
'metadata': {
'name': name,
'namespace': get_conf().kube_namespace
}
}
try:
del_obj['kind'] = 'Service'
pykube.Service(self.api, del_obj).delete()
del_obj['kind'] = 'ReplicationController'
pykube.ReplicationController(self.api, del_obj).delete()
del_obj['kind'] = 'Pod'
pod_selector = ZOE_LABELS
pod_selector['service_name'] = name
pods = pykube.Pod.objects(
self.api).filter(namespace=get_conf().kube_namespace,
selector=pod_selector).iterator()
for pod in pods:
del_obj['metadata']['name'] = str(pod)
pykube.Pod(self.api, del_obj).delete()
log.info('Service deleted on Kubernetes cluster')
except Exception as ex:
log.error(ex)
def test_scale_down_launch_grace_period(self):
"""
kube node with daemonset and no pod + launch grace period --> noop
"""
node = self._spin_up_node()
all_nodes = [node]
managed_nodes = [n for n in all_nodes if node.is_managed()]
running_insts_map = self.cluster.get_running_instances_map(managed_nodes, [])
pods_to_schedule = {}
asgs = self.cluster.autoscaling_groups.get_all_groups(all_nodes)
ds_pod = KubePod(pykube.Pod(self.api, self.dummy_ds_pod))
running_or_pending_assigned_pods = [ds_pod]
self.cluster.idle_threshold = -1
self.cluster.type_idle_threshold = -1
self.cluster.LAUNCH_HOUR_THRESHOLD['aws'] = 60*30
self.cluster.maintain(
managed_nodes, running_insts_map,
pods_to_schedule, running_or_pending_assigned_pods, asgs)
response = self.asg_client.describe_auto_scaling_groups()
self.assertEqual(len(response['AutoScalingGroups']), 1)
self.assertEqual(response['AutoScalingGroups'][0]['DesiredCapacity'], 1)
node.cordon.assert_not_called()
def destroy(api, spec):
if spec["kind"] == 'Deployment':
pykube.Deployment(api, spec).delete()
if spec["kind"] == 'Service':
pykube.Service(api, spec).delete()
if spec["kind"] == 'Pod':
pykube.Pod(api, spec).delete()
def constroy(api, spec):
if spec["kind"] == 'Deployment':
pykube.Deployment(api, spec).create()
if spec["kind"] == 'Service':
pykube.Service(api, spec).create()
if spec["kind"] == 'Pod':
pykube.Pod(api, spec).create()
def run_on_node(fn, node):
name = f"task-{uuid.uuid4()}"
ctx = {
"name": name,
"namespace": "kube-system", # FIXME
"nodeSelector": json.dumps({"kubernetes.io/hostname": node}),
"cmd": json.dumps(fn),
"image_repository": CONFIG["image_repository"],
"image_tag": CONFIG["image_tag"],
}
template = Path("./templates/task.yaml").read_bytes().decode()
manifest = template.format(**ctx)
obj = yaml.safe_load(manifest)
task_pod = pykube.Pod(api, obj)
task_pod.create()
def is_finished():
task_pod.reload()
status = task_pod.obj["status"]
if status["phase"] in ["Succeeded", "Failed"]:
return True
return False
wait_for(is_finished, "task to finish")
if task_pod.obj["status"]["phase"] != "Succeeded":
exit_code = task_pod.obj["status"]["containerStatuses"][0]["state"][
"terminated"]["exitCode"]
raise CalledProcessError(returncode=exit_code, cmd=f"Task: {name}")
task_pod.delete()
def create_fn(spec, **kwargs):
# Render the pod yaml with some spec fields used in the template.
doc = yaml.safe_load(f"""
apiVersion: v1
kind: Pod
spec:
containers:
- name: the-only-one
image: busybox
command: ["sh", "-x", "-c"]
args:
- |
echo "FIELD=$FIELD"
sleep {spec.get('duration', 0)}
env:
- name: FIELD
value: {spec.get('field', 'default-value')}
""")
# Make it our child: assign the namespace, name, labels, owner references, etc.
kopf.adopt(doc)
# Actually create an object by requesting the Kubernetes API.
api = pykube.HTTPClient(pykube.KubeConfig.from_env())
pod = pykube.Pod(api, doc)
pod.create()
api.session.close()
# Update the parent's status.
return {'children': [pod.metadata['uid']]}
def test_impossible(self):
self.dummy_pod['spec']['nodeSelector'] = {'aws/type': 't2.micro'}
print repr(self.dummy_pod['metadata']['creationTimestamp'])
from dateutil.parser import parse as dateutil_parse
print dateutil_parse(self.dummy_pod['metadata']['creationTimestamp'])
pod = KubePod(pykube.Pod(self.api, self.dummy_pod))
assert not capacity.is_possible(pod)
def test_scale_up(self):
pod = KubePod(pykube.Pod(self.api, self.dummy_pod))
selectors_hash = utils.selectors_to_hash(pod.selectors)
asgs = self.cluster.autoscaling_groups.get_all_groups([])
self.cluster.fulfill_pending(asgs, selectors_hash, [pod])
response = self.asg_client.describe_auto_scaling_groups()
self.assertEqual(len(response['AutoScalingGroups']), 1)
self.assertGreater(response['AutoScalingGroups'][0]['DesiredCapacity'], 0)
def setup_module(_):
extra_kwargs = {}
if os.environ.get("API_URL", False):
extra_kwargs.update({
"override_api_url": os.environ.get("API_URL")
})
def _raise():
raise Exception("No subject storage provider overridden")
subject_storage_factory.override(
providers.Factory(lambda name, event_info, event_data:
name.startswith("k8s:") and k8s_storage_impl.SubjectsK8sStorage(
resource_path=name[4:],
resource_body=event_data
)
or _raise())
)
global POD_NAME, NAMESPACE
POD_NAME = "pytest-temp-{0}".format(
''.join(random.choice(string.ascii_lowercase) for i in range(8))
)
if os.environ.get("API_URL", False):
config = pykube.KubeConfig.from_url(os.environ.get("API_URL"))
else:
config = pykube.KubeConfig.from_env()
if os.environ.get("NAMESPACE", False):
NAMESPACE = os.environ.get("NAMESPACE")
else:
NAMESPACE = config.namespace
# create a test pod
obj = {
"apiVersion": "v1",
"kind": "Pod",
"metadata": {
"name": POD_NAME,
"namespace": NAMESPACE,
"labels": {
"app": "pytest-temp"
}
},
"spec": {
"containers": [{
"name": "hello",
"image": "karthequian/helloworld"
}]
}
}
api = pykube.HTTPClient(config)
pykube.Pod(api, obj).create()
def test_scale_down_busy(self):
"""
kube node with daemonset and pod/rc-pod --> noop
"""
node = self._spin_up_node()
all_nodes = [node]
managed_nodes = [n for n in all_nodes if node.is_managed()]
running_insts_map = self.cluster.get_running_instances_map(
managed_nodes)
pods_to_schedule = {}
asgs = self.cluster.autoscaling_groups.get_all_groups(all_nodes)
# kube node with daemonset and pod --> noop
ds_pod = KubePod(pykube.Pod(self.api, self.dummy_ds_pod))
pod = KubePod(pykube.Pod(self.api, self.dummy_pod))
rc_pod = KubePod(pykube.Pod(self.api, self.dummy_rc_pod))
pod_scenarios = [
# kube node with daemonset and pod --> noop
[ds_pod, pod],
# kube node with daemonset and rc pod --> noop
[ds_pod, rc_pod]
]
# make sure we're not on grace period
self.cluster.idle_threshold = -1
self.cluster.type_idle_threshold = -1
for pods in pod_scenarios:
state = self.cluster.get_node_state(node, asgs[0], pods,
pods_to_schedule,
running_insts_map,
collections.Counter())
self.assertEqual(state, ClusterNodeState.BUSY)
self.cluster.maintain(managed_nodes, running_insts_map,
pods_to_schedule, pods, asgs)
response = self.asg_client.describe_auto_scaling_groups()
self.assertEqual(len(response['AutoScalingGroups']), 1)
self.assertEqual(
response['AutoScalingGroups'][0]['DesiredCapacity'], 1)
node.cordon.assert_not_called()
def deploy(self, obj):
if obj['kind'] == 'Deployment':
logging.info('Starting Deployment... ' + obj['metadata']['name'])
pykube.Deployment(self.api, obj).create()
elif obj['kind'] == 'Service':
logging.info('Starting Service... ' + obj['metadata']['name'])
pykube.Service(self.api, obj).create()
elif obj['kind'] == 'Pod':
logging.info('Starting Pod... ' + obj['metadata']['name'] + '(' + obj['spec']['containers'][0]['image'] + ')')
pykube.Pod(self.api, obj).create()
def delete_pod(self, name):
obj = {
'apiVersion': 'v1',
'kind': 'Pod',
'metadata': {
'name': name,
'namespace': 'default'
}
}
logging.info('Deleting...{}'.format(name))
pykube.Pod(self.api, obj).delete()
def get_pod(kube_api, namespace, name):
"""
Retrieve Pod from cluster
:param kube_api: Pykube API Object
:param namespace: Namespace of pod
:param name: Name of pod
:return: Pykube Pod object from cluster
"""
pod = pykube.Pod(kube_api, base_obj("Pod", namespace, name))
pod.reload()
return pod
def test_scale_up_selector(self):
self.dummy_pod['spec']['nodeSelector'] = {'aws/type': 'm4.large'}
pod = KubePod(pykube.Pod(self.api, self.dummy_pod))
selectors_hash = utils.selectors_to_hash(pod.selectors)
asgs = self.cluster.autoscaling_groups.get_all_groups([])
self.cluster.fulfill_pending(asgs, selectors_hash, [pod])
response = self.asg_client.describe_auto_scaling_groups()
self.assertEqual(len(response['AutoScalingGroups']), 1)
self.assertEqual(response['AutoScalingGroups'][0]['DesiredCapacity'],
0)
def test_validate_rogue_unrelated(self):
pod1 = pykube.Pod(self.api, TestData.pod_spec)
pod2 = pykube.Pod(self.api, TestData.pod_spec_noapp)
pod1.create()
pod2.create()
while not pod1.ready:
pod1.reload()
sleep(1)
while not pod2.ready:
pod2.reload()
sleep(1)
ogo = self.extraSetUp(TestData.kot, TestData.kog)
self.assertFalse(ogo.is_pod_expected())
self.kw.setdefault('status', {})['pod'] = pod1.name
self.kw.setdefault('status', {})['currently_running'] = 'itemname'
self.assertIsNone(ogo.validate_no_rogue_pods_are_running())
pod1.obj['metadata']['labels'] = None
pod2.obj['metadata']['labels'] = None
pod1.update()
pod2.update()
pod1.delete()
pod2.delete()
def test_scale_down_under_utilized_drainable(self):
"""
kube node with daemonset and rc-pod --> cordon+drain
"""
node = self._spin_up_node()
all_nodes = [node]
managed_nodes = [n for n in all_nodes if node.is_managed()]
running_insts_map = self.cluster.get_running_instances_map(
managed_nodes)
pods_to_schedule = {}
asgs = self.cluster.autoscaling_groups.get_all_groups(all_nodes)
# create some undrainable pods
ds_pod = KubePod(pykube.Pod(self.api, self.dummy_ds_pod))
for container in self.dummy_rc_pod['spec']['containers']:
container.pop('resources', None)
rc_pod = KubePod(pykube.Pod(self.api, self.dummy_rc_pod))
pods = [ds_pod, rc_pod]
# make sure we're not on grace period
self.cluster.idle_threshold = -1
self.cluster.type_idle_threshold = -1
self.cluster.LAUNCH_HOUR_THRESHOLD = -1
state = self.cluster.get_node_state(node, asgs[0], pods,
pods_to_schedule,
running_insts_map,
collections.Counter())
self.assertEqual(state, ClusterNodeState.UNDER_UTILIZED_DRAINABLE)
self.cluster.maintain(managed_nodes, running_insts_map,
pods_to_schedule, pods, asgs)
response = self.asg_client.describe_auto_scaling_groups()
self.assertEqual(len(response['AutoScalingGroups']), 1)
self.assertEqual(response['AutoScalingGroups'][0]['DesiredCapacity'],
1)
node.cordon.assert_called_once_with()
node.drain.assert_called_once_with(pods, notifier=mock.ANY)
def test_fulfill_pending(self):
nodes = self.create_nodes(2, 1)
scaler = self.create_scaler(nodes)
scaler.scale_pools = MagicMock()
#Should add one node to pool 1 (2, 1)
pod = KubePod(pykube.Pod(self.api, self.dummy_pod))
scaler.fulfill_pending([pod])
scaler.scale_pools.assert_called_with({
'agentpool0': 2,
'agentpool1': 1
})
#The two pods should fit in the same new node
dummy_pod_2 = copy.deepcopy(self.dummy_pod)
dummy_pod_2['spec']['containers'][0]['resources']['requests'][
'cpu'] = '400m'
dummy_pod_2['spec']['containers'][0]['resources']['limits'][
'cpu'] = '400m'
dummy_pod_2['metadata']['uid'] = 'fake'
pod_2 = KubePod(pykube.Pod(self.api, dummy_pod_2))
scaler.fulfill_pending([pod, pod_2])
scaler.scale_pools.assert_called_with({
'agentpool0': 2,
'agentpool1': 1
})
#pod_2 shouldn't fit anymore, and so it should add 2 new VMs
dummy_pod_2['spec']['containers'][0]['resources']['requests'][
'cpu'] = '600m'
dummy_pod_2['spec']['containers'][0]['resources']['limits'][
'cpu'] = '600m'
pod_2 = KubePod(pykube.Pod(self.api, dummy_pod_2))
scaler.fulfill_pending([pod, pod_2])
scaler.scale_pools.assert_called_with({
'agentpool0': 3,
'agentpool1': 1
})
def _create_pod():
api = pykube.HTTPClient(pykube.KubeConfig.from_file())
pod = pykube.Pod(api, {
'apiVersion': 'v1',
'kind': 'Pod',
'metadata': {'generateName': 'kopf-pod-', 'namespace': 'default'},
'spec': {
'containers': [{
'name': 'the-only-one',
'image': 'busybox',
'command': ["sh", "-x", "-c", "sleep 1"],
}]},
})
pod.create()
return pod.name
def test_validate_expected_pod_negative(self):
pod1 = pykube.Pod(self.api, TestData.pod_spec)
pod1.create()
while not pod1.ready:
pod1.reload()
sleep(1)
ogo = self.extraSetUp(TestData.kot, TestData.kog)
self.assertFalse(ogo.is_pod_expected())
self.kw.setdefault('status', {})['pod'] = f'not-{pod1.name}'
self.kw.setdefault('status', {})['currently_running'] = 'itemname'
with self.assertRaisesRegexp(ProcessingComplete,
'item.*failed during validation'):
ogo.validate_expected_pod_is_running()
pod1.obj['metadata']['labels'] = None
pod1.update()
pod1.delete()
def test_timed_out_group(self):
with mock.patch('autoscaler.autoscaling_groups.AutoScalingGroup.is_timed_out') as is_timed_out:
with mock.patch('autoscaler.autoscaling_groups.AutoScalingGroup.scale') as scale:
is_timed_out.return_value = True
scale.return_value = utils.CompletedFuture(None)
pod = KubePod(pykube.Pod(self.api, self.dummy_pod))
selectors_hash = utils.selectors_to_hash(pod.selectors)
asgs = self.cluster.autoscaling_groups.get_all_groups([])
self.cluster.fulfill_pending(asgs, selectors_hash, [pod])
scale.assert_not_called()
response = self.asg_client.describe_auto_scaling_groups()
self.assertEqual(len(response['AutoScalingGroups']), 1)
self.assertEqual(response['AutoScalingGroups'][0]['DesiredCapacity'], 0)
def test_validate_expected_pod(self):
pod1 = pykube.Pod(self.api, TestData.pod_spec)
pod1.create()
while not pod1.ready:
pod1.reload()
sleep(1)
ogo = self.extraSetUp(TestData.kot, TestData.kog)
self.assertFalse(ogo.is_pod_expected())
self.kw.setdefault('status', {})['pod'] = pod1.name
self.kw.setdefault('status', {})['currently_running'] = 'itemname'
self.assertEqual(ogo.get_status('pod'), pod1.name)
with self.assertRaisesRegexp(ProcessingComplete,
'Pod.*exists and is in state'):
ogo.validate_expected_pod_is_running()
pod1.obj['metadata']['labels'] = None
pod1.update()
pod1.delete()
def test_scale_up(self):
pod = KubePod(pykube.Pod(self.api, self.dummy_pod))
selectors_hash = utils.selectors_to_hash(pod.selectors)
asgs = self.cluster.autoscaling_groups.get_all_groups([])
self.cluster.fulfill_pending(asgs, selectors_hash, [pod])
response = self.asg_client.describe_auto_scaling_groups()
self.assertEqual(len(response['AutoScalingGroups']), 2)
big_gpu_asg, small_gpu_asg = {}, {}
if (response['AutoScalingGroups'][0]['AutoScalingGroupName'] ==
'dummy-asg-small-gpu'):
small_gpu_asg = response['AutoScalingGroups'][0]
big_gpu_asg = response['AutoScalingGroups'][1]
else:
small_gpu_asg = response['AutoScalingGroups'][1]
big_gpu_asg = response['AutoScalingGroups'][0]
self.assertGreater(big_gpu_asg['DesiredCapacity'], 0)
self.assertEqual(small_gpu_asg['DesiredCapacity'], 0)
def create_pod(body, **kwargs):
# Render the pod yaml with some spec fields used in the template.
pod_data = yaml.safe_load(f"""
apiVersion: v1
kind: Pod
spec:
containers:
- name: the-only-one
image: busybox
command: ["sh", "-x", "-c", "sleep 1"]
""")
# Make it our child: assign the namespace, name, labels, owner references, etc.
kopf.adopt(pod_data, owner=body)
kopf.label(pod_data, {'application': 'kopf-example-10'})
# Actually create an object by requesting the Kubernetes API.
pod = pykube.Pod(api, pod_data)
pod.create()