Source code for heat_integrationtests.functional.test_default_parameters

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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']))

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