def test_lb_policy(self):
# Create cluster
desired_capacity = 2
min_size = 1
max_size = 5
cluster = test_api.create_cluster(self.client,
test_utils.random_name('cluster'),
self.profile['id'], desired_capacity,
min_size, max_size)
cluster = test_utils.wait_for_status(test_api.get_cluster, self.client,
cluster['id'], 'ACTIVE')
# Verify there is no lb information in node data
cluster = test_api.get_cluster(self.client, cluster['id'])
for n in cluster['nodes']:
node = test_api.get_node(self.client, n)
self.assertNotIn('lb_member', node['data'])
# Create a lb policy
spec = test_utils.spec_lb_policy
lb_policy = test_api.create_policy(self.client,
test_utils.random_name('lb-policy'),
spec)
# Attach scaling in/out policies to cluster
params = {"enabled": True, "policy_id": lb_policy['id']}
action_id = test_api.action_cluster(self.client, cluster['id'],
'policy_attach', params)
test_utils.wait_for_status(test_api.get_action, self.client, action_id,
'SUCCEEDED')
# Verify lb information recorded in node data
cluster = test_api.get_cluster(self.client, cluster['id'])
for n in cluster['nodes']:
node = test_api.get_node(self.client, n)
self.assertIn('lb_member', node['data'])
# Scale out cluster
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_out')
test_utils.wait_for_status(test_api.get_action, self.client, action_id,
'SUCCEEDED')
# Verify cluster scale out result
cluster = test_api.get_cluster(self.client, cluster['id'])
self.assertEqual('ACTIVE', cluster['status'])
self.assertEqual(3, len(cluster['nodes']))
# Verify lb information recorded in node data
cluster = test_api.get_cluster(self.client, cluster['id'])
for n in cluster['nodes']:
node = test_api.get_node(self.client, n)
self.assertIn('lb_member', node['data'])
# Scale in cluster
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_in')
test_utils.wait_for_status(test_api.get_action, self.client, action_id,
'SUCCEEDED')
# Detach scaling lb policy from cluster
params = {"policy_id": lb_policy['id']}
action_id = test_api.action_cluster(self.client, cluster['id'],
'policy_detach', params)
test_utils.wait_for_status(test_api.get_action, self.client, action_id,
'SUCCEEDED')
# Verify lb information recorded in node data
cluster = test_api.get_cluster(self.client, cluster['id'])
for n in cluster['nodes']:
node = test_api.get_node(self.client, n)
self.assertNotIn('lb_member', node['data'])
# Delete policies
test_api.delete_policy(self.client, lb_policy['id'])
# Delete cluster
test_api.delete_cluster(self.client, cluster['id'])
cluster = test_utils.wait_for_delete(test_api.get_cluster, self.client,
cluster['id'])
def test_scaling_policy(self):
# Create cluster
desired_capacity = 1
min_size = 0
max_size = 5
cluster = test_api.create_cluster(self.client, 'test-cluster',
self.profile['id'], desired_capacity,
min_size, max_size)
cluster = test_utils.wait_for_status(test_api.get_cluster, self.client,
cluster['id'], 'ACTIVE')
# Create a scaling policy targets on CLUSTER_SCALE_OUT action
spec = test_utils.spec_scaling_policy
spec['properties'] = {
'event': 'CLUSTER_SCALE_OUT',
'adjustment': {
'type': 'CHANGE_IN_CAPACITY',
'number': 2,
'min_step': 1,
'best_effort': True
}
}
scaling_out_policy = test_api.create_policy(self.client,
'scaling-out-policy',
spec, 0, 0)
# Create a scaling policy targets on CLUSTER_SCALE_IN action
spec['properties'] = {
'event': 'CLUSTER_SCALE_IN',
'adjustment': {
'type': 'CHANGE_IN_PERCENTAGE',
'number': 50,
'min_step': 2,
'best_effort': False
}
}
scaling_in_policy = test_api.create_policy(self.client,
'scaling-in-policy',
spec, 0, 0)
# Attach scaling in/out policies to cluster
for policy in [scaling_in_policy, scaling_out_policy]:
params = {
"priority": 50,
"level": 50,
"enabled": True,
"cooldown": 0,
"policy_id": policy['id']
}
action_id = test_api.action_cluster(self.client, cluster['id'],
'policy_attach', params)
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Scale out cluster without params
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_out')
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Verify cluster scale out result
cluster = test_api.get_cluster(self.client, cluster['id'])
self.assertEqual('ACTIVE', cluster['status'])
self.assertEqual(3, len(cluster['nodes']))
# Scale out with count set to 1
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_out', {'count': 1})
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Verify cluster scale out result
cluster = test_api.get_cluster(self.client, cluster['id'])
self.assertEqual('ACTIVE', cluster['status'])
self.assertEqual(4, len(cluster['nodes']))
# Scale out with count set to 3 to verify best_effort param
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_out', {'count': 3})
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Verify cluster scale out result
cluster = test_api.get_cluster(self.client, cluster['id'])
self.assertEqual('ACTIVE', cluster['status'])
self.assertEqual(5, len(cluster['nodes']))
# Scale in cluster without params
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_in')
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Verify cluster scale in result
cluster = test_api.get_cluster(self.client, cluster['id'])
self.assertEqual('ACTIVE', cluster['status'])
self.assertEqual(3, len(cluster['nodes']))
# Scale in without param to verify min_step param
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_in')
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Verify cluster scale in result
cluster = test_api.get_cluster(self.client, cluster['id'])
self.assertEqual('ACTIVE', cluster['status'])
self.assertEqual(1, len(cluster['nodes']))
# Scale in with count set to 2 to verify best_effort param
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_in', {'count': 2})
action = test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'FAILED')
reason = _("Policy check failure: Attempted scaling below minimum "
"size.")
self.assertEqual(reason, action['status_reason'])
# Verify cluster scale in result
cluster = test_api.get_cluster(self.client, cluster['id'])
self.assertEqual('ACTIVE', cluster['status'])
self.assertEqual(1, len(cluster['nodes']))
# Detach scaling in/out policies from cluster
for policy in [scaling_in_policy, scaling_out_policy]:
params = {
"policy_id": policy['id']
}
action_id = test_api.action_cluster(self.client, cluster['id'],
'policy_detach', params)
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Delete policies
test_api.delete_policy(self.client, scaling_in_policy['id'])
test_api.delete_policy(self.client, scaling_out_policy['id'])
# Delete cluster
test_api.delete_cluster(self.client, cluster['id'])
cluster = test_utils.wait_for_status(test_api.get_cluster, self.client,
cluster['id'], 'DELETED',
ignore_missing=True)
def test_scaling_policy(self):
# Create cluster
desired_capacity = 1
min_size = 0
max_size = 5
cluster = test_api.create_cluster(self.client, 'test-cluster',
self.profile['id'], desired_capacity,
min_size, max_size)
cluster = test_utils.wait_for_status(test_api.get_cluster, self.client,
cluster['id'], 'ACTIVE')
# Create a scaling policy targets on CLUSTER_SCALE_OUT action
spec = test_utils.spec_scaling_policy
spec['properties'] = {
'event': 'CLUSTER_SCALE_OUT',
'adjustment': {
'type': 'CHANGE_IN_CAPACITY',
'number': 2,
'min_step': 1,
'best_effort': True
}
}
scaling_out_policy = test_api.create_policy(self.client,
'scaling-out-policy', spec,
0, 0)
# Create a scaling policy targets on CLUSTER_SCALE_IN action
spec['properties'] = {
'event': 'CLUSTER_SCALE_IN',
'adjustment': {
'type': 'CHANGE_IN_PERCENTAGE',
'number': 50,
'min_step': 2,
'best_effort': False
}
}
scaling_in_policy = test_api.create_policy(self.client,
'scaling-in-policy', spec,
0, 0)
# Attach scaling in/out policies to cluster
for policy in [scaling_in_policy, scaling_out_policy]:
params = {
"priority": 50,
"level": 50,
"enabled": True,
"cooldown": 0,
"policy_id": policy['id']
}
action_id = test_api.action_cluster(self.client, cluster['id'],
'policy_attach', params)
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Scale out cluster without params
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_out')
test_utils.wait_for_status(test_api.get_action, self.client, action_id,
'SUCCEEDED')
# Verify cluster scale out result
cluster = test_api.get_cluster(self.client, cluster['id'])
self.assertEqual('ACTIVE', cluster['status'])
self.assertEqual(3, len(cluster['nodes']))
# Scale out with count set to 1
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_out', {'count': 1})
test_utils.wait_for_status(test_api.get_action, self.client, action_id,
'SUCCEEDED')
# Verify cluster scale out result
cluster = test_api.get_cluster(self.client, cluster['id'])
self.assertEqual('ACTIVE', cluster['status'])
self.assertEqual(4, len(cluster['nodes']))
# Scale out with count set to 3 to verify best_effort param
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_out', {'count': 3})
test_utils.wait_for_status(test_api.get_action, self.client, action_id,
'SUCCEEDED')
# Verify cluster scale out result
cluster = test_api.get_cluster(self.client, cluster['id'])
self.assertEqual('ACTIVE', cluster['status'])
self.assertEqual(5, len(cluster['nodes']))
# Scale in cluster without params
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_in')
test_utils.wait_for_status(test_api.get_action, self.client, action_id,
'SUCCEEDED')
# Verify cluster scale in result
cluster = test_api.get_cluster(self.client, cluster['id'])
self.assertEqual('ACTIVE', cluster['status'])
self.assertEqual(3, len(cluster['nodes']))
# Scale in without param to verify min_step param
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_in')
test_utils.wait_for_status(test_api.get_action, self.client, action_id,
'SUCCEEDED')
# Verify cluster scale in result
cluster = test_api.get_cluster(self.client, cluster['id'])
self.assertEqual('ACTIVE', cluster['status'])
self.assertEqual(1, len(cluster['nodes']))
# Scale in with count set to 2 to verify best_effort param
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_in', {'count': 2})
action = test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'FAILED')
reason = _("Policy check failure: Attempted scaling below minimum "
"size.")
self.assertEqual(reason, action['status_reason'])
# Verify cluster scale in result
cluster = test_api.get_cluster(self.client, cluster['id'])
self.assertEqual('ACTIVE', cluster['status'])
self.assertEqual(1, len(cluster['nodes']))
# Detach scaling in/out policies from cluster
for policy in [scaling_in_policy, scaling_out_policy]:
params = {"policy_id": policy['id']}
action_id = test_api.action_cluster(self.client, cluster['id'],
'policy_detach', params)
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Delete policies
test_api.delete_policy(self.client, scaling_in_policy['id'])
test_api.delete_policy(self.client, scaling_out_policy['id'])
# Delete cluster
test_api.delete_cluster(self.client, cluster['id'])
cluster = test_utils.wait_for_status(test_api.get_cluster,
self.client,
cluster['id'],
'DELETED',
ignore_missing=True)
def test_lb_policy(self):
# Create cluster
desired_capacity = 2
min_size = 1
max_size = 5
cluster = test_api.create_cluster(self.client, 'test-cluster',
self.profile['id'], desired_capacity,
min_size, max_size)
# Wait and verify cluster creation result
cluster = test_utils.wait_for_status(test_api.get_cluster, self.client,
cluster['id'], 'ACTIVE')
self.assertEqual('test-cluster', cluster['name'])
self.assertEqual(desired_capacity, cluster['desired_capacity'])
self.assertEqual(min_size, cluster['min_size'])
self.assertEqual(max_size, cluster['max_size'])
self.assertEqual(desired_capacity, len(cluster['nodes']))
# Verify there is no lb information in node data
cluster = test_api.get_cluster(self.client, cluster['id'])
for n in cluster['nodes']:
node = test_api.get_node(self.client, n)
self.assertNotIn('lb_member', node['data'])
# Create a lb policy
spec = test_utils.spec_lb_policy
lb_policy = test_api.create_policy(self.client, 'test-lb-policy', spec,
0, 0)
# Attach scaling in/out policies to cluster
params = {
"priority": 50,
"level": 50,
"enabled": True,
"cooldown": 0,
"policy_id": lb_policy['id']
}
action_id = test_api.action_cluster(self.client, cluster['id'],
'policy_attach', params)
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Verify lb information recorded in node data
cluster = test_api.get_cluster(self.client, cluster['id'])
for n in cluster['nodes']:
node = test_api.get_node(self.client, n)
self.assertIn('lb_member', node['data'])
# Scale out cluster
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_out')
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Verify cluster scale out result
cluster = test_api.get_cluster(self.client, cluster['id'])
self.assertEqual('ACTIVE', cluster['status'])
self.assertEqual(3, len(cluster['nodes']))
# Verify lb information recorded in node data
cluster = test_api.get_cluster(self.client, cluster['id'])
for n in cluster['nodes']:
node = test_api.get_node(self.client, n)
self.assertIn('lb_member', node['data'])
# Scale in cluster
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_in')
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Detach scaling lb policy from cluster
params = {
"policy_id": lb_policy['id']
}
action_id = test_api.action_cluster(self.client, cluster['id'],
'policy_detach', params)
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Verify lb information recorded in node data
cluster = test_api.get_cluster(self.client, cluster['id'])
for n in cluster['nodes']:
node = test_api.get_node(self.client, n)
self.assertNotIn('lb_member', node['data'])
# Delete policies
test_api.delete_policy(self.client, lb_policy['id'])
# Delete cluster
test_api.delete_cluster(self.client, cluster['id'])
cluster = test_utils.wait_for_status(test_api.get_cluster, self.client,
cluster['id'], 'DELETED',
ignore_missing=True)
def test_lb_policy(self):
# Create cluster
desired_capacity = 2
min_size = 1
max_size = 5
cluster = test_api.create_cluster(self.client,
test_utils.random_name('cluster'),
self.profile['id'], desired_capacity,
min_size, max_size)
cluster = test_utils.wait_for_status(test_api.get_cluster, self.client,
cluster['id'], 'ACTIVE')
# Verify there is no lb information in node data
cluster = test_api.get_cluster(self.client, cluster['id'])
for n in cluster['nodes']:
node = test_api.get_node(self.client, n)
self.assertNotIn('lb_member', node['data'])
# Create a lb policy
spec = test_utils.spec_lb_policy
lb_policy = test_api.create_policy(self.client,
test_utils.random_name('lb-policy'),
spec)
# Attach scaling in/out policies to cluster
params = {
"enabled": True,
"policy_id": lb_policy['id']
}
action_id = test_api.action_cluster(self.client, cluster['id'],
'policy_attach', params)
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Verify lb information recorded in node data
cluster = test_api.get_cluster(self.client, cluster['id'])
for n in cluster['nodes']:
node = test_api.get_node(self.client, n)
self.assertIn('lb_member', node['data'])
# Scale out cluster
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_out')
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Verify cluster scale out result
cluster = test_api.get_cluster(self.client, cluster['id'])
self.assertEqual('ACTIVE', cluster['status'])
self.assertEqual(3, len(cluster['nodes']))
# Verify lb information recorded in node data
cluster = test_api.get_cluster(self.client, cluster['id'])
for n in cluster['nodes']:
node = test_api.get_node(self.client, n)
self.assertIn('lb_member', node['data'])
# Scale in cluster
action_id = test_api.action_cluster(self.client, cluster['id'],
'scale_in')
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Detach scaling lb policy from cluster
params = {
"policy_id": lb_policy['id']
}
action_id = test_api.action_cluster(self.client, cluster['id'],
'policy_detach', params)
test_utils.wait_for_status(test_api.get_action, self.client,
action_id, 'SUCCEEDED')
# Verify lb information recorded in node data
cluster = test_api.get_cluster(self.client, cluster['id'])
for n in cluster['nodes']:
node = test_api.get_node(self.client, n)
self.assertNotIn('lb_member', node['data'])
# Delete policies
test_api.delete_policy(self.client, lb_policy['id'])
# Delete cluster
test_api.delete_cluster(self.client, cluster['id'])
cluster = test_utils.wait_for_delete(test_api.get_cluster, self.client,
cluster['id'])
