Source code for heat_integrationtests.functional.test_default_parameters
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#
# http://www.apache.org/licenses/LICENSE-2.0
#
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# under the License.
import yaml
from heat_integrationtests.functional import functional_base
[docs]class DefaultParametersTest(functional_base.FunctionalTestsBase):
template = '''
heat_template_version: 2013-05-23
parameters:
length:
type: string
default: 40
resources:
random1:
type: nested_random.yaml
random2:
type: OS::Heat::RandomString
properties:
length: {get_param: length}
outputs:
random1:
value: {get_attr: [random1, random1_value]}
random2:
value: {get_resource: random2}
'''
nested_template = '''
heat_template_version: 2013-05-23
parameters:
length:
type: string
default: 50
resources:
random1:
type: OS::Heat::RandomString
properties:
length: {get_param: length}
outputs:
random1_value:
value: {get_resource: random1}
'''
scenarios = [
('none', dict(param=None, default=None, temp_def=True,
expect1=50, expect2=40)),
('default', dict(param=None, default=12, temp_def=True,
expect1=12, expect2=12)),
('both', dict(param=15, default=12, temp_def=True,
expect1=12, expect2=15)),
('no_temp_default', dict(param=None, default=12, temp_def=False,
expect1=12, expect2=12)),
]
[docs] def setUp(self):
super(DefaultParametersTest, self).setUp()
[docs] def test_defaults(self):
env = {'parameters': {}, 'parameter_defaults': {}}
if self.param:
env['parameters'] = {'length': self.param}
if self.default:
env['parameter_defaults'] = {'length': self.default}
if not self.temp_def:
# remove the default from the parameter in the nested template.
ntempl = yaml.safe_load(self.nested_template)
del ntempl['parameters']['length']['default']
nested_template = yaml.safe_dump(ntempl)
else:
nested_template = self.nested_template
stack_identifier = self.stack_create(
template=self.template,
files={'nested_random.yaml': nested_template},
environment=env
)
stack = self.client.stacks.get(stack_identifier)
for out in stack.outputs:
if out['output_key'] == 'random1':
self.assertEqual(self.expect1, len(out['output_value']))
if out['output_key'] == 'random2':
self.assertEqual(self.expect2, len(out['output_value']))