def test_get_dict_from_entries(self):
input = ['param1', {'param2': 2}]
input_dict = utils.get_dict_from_entries(input)
self.assertIn('param1', input_dict)
self.assertIn('param2', input_dict)
self.assertEqual(2, input_dict.get('param2'))
self.assertIs(input_dict.get('param1'), utils.NotDefined)
def test_get_dict_from_entries(self):
input = ['param1', {'param2': 2}]
input_dict = utils.get_dict_from_entries(input)
self.assertIn('param1', input_dict)
self.assertIn('param2', input_dict)
self.assertEqual(2, input_dict.get('param2'))
self.assertIs(input_dict.get('param1'), utils.NotDefined)
def __init__(self, data):
super(ActionSpec, self).__init__(data)
self._name = data['name']
self._description = data.get('description')
self._tags = data.get('tags', [])
self._base = data['base']
self._base_input = data.get('base-input', {})
self._input = utils.get_dict_from_entries(data.get('input', []))
self._output = data.get('output')
self._base, _input = self._parse_cmd_and_input(self._base)
utils.merge_dicts(self._base_input, _input)
def __init__(self, data, validate):
super(ActionSpec, self).__init__(data, validate)
self._name = data['name']
self._description = data.get('description')
self._tags = data.get('tags', [])
self._base = data['base']
self._base_input = data.get('base-input', {})
self._input = utils.get_dict_from_entries(data.get('input', []))
self._output = data.get('output')
self._base, _input = self._parse_cmd_and_input(self._base)
utils.merge_dicts(self._base_input, _input)
def __init__(self, data):
super(WorkflowSpec, self).__init__(data)
self._name = data['name']
self._description = data.get('description')
self._tags = data.get('tags', [])
self._type = data['type'] if 'type' in data else 'direct'
self._input = utils.get_dict_from_entries(data.get('input', []))
self._output = data.get('output', {})
self._output_on_error = data.get('output-on-error', {})
self._vars = data.get('vars', {})
self._task_defaults = self._spec_property(
'task-defaults', task_defaults.TaskDefaultsSpec)
# Inject 'type' here, so instantiate_spec function can recognize the
# specific subclass of TaskSpec.
for task in six.itervalues(self._data.get('tasks')):
task['type'] = self._type
self._tasks = self._spec_property('tasks', tasks.TaskSpecList)
def __init__(self, data, validate):
super(WorkflowSpec, self).__init__(data, validate)
self._name = data['name']
self._description = data.get('description')
self._tags = data.get('tags', [])
self._type = data['type'] if 'type' in data else 'direct'
self._input = utils.get_dict_from_entries(data.get('input', []))
self._output = data.get('output', {})
self._output_on_error = data.get('output-on-error', {})
self._vars = data.get('vars', {})
self._task_defaults = self._spec_property(
'task-defaults',
task_defaults.TaskDefaultsSpec
)
# Inject 'type' here, so instantiate_spec function can recognize the
# specific subclass of TaskSpec.
for task in six.itervalues(self._data.get('tasks')):
task['type'] = self._type
self._tasks = self._spec_property('tasks', tasks.TaskSpecList)