apache/beam · error · TypeError
f' of test specification missing a name
Error message
f'{attr_type} {ix} of test specification {identifier} missing a name' What it means
An entry in one of the test spec's element-list attributes (mock_inputs, mock_outputs, expected_outputs, expected_inputs) is a mapping but lacks the required 'name' key. The name identifies which input/output of the transform under test the elements belong to, so validation fails before the entry can be matched to a transform output.
Solutions
- Add a 'name' key to the entry matching an input or output name of the transform being tested
- For outputs referenced by tag, use the 'transform.output' naming convention in the name field
Defensive patterns
Strategy: validation
When it happens
Trigger: Thrown at sdks/python/apache_beam/yaml/yaml_testing.py:188 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of apache/beam@12126d8942 (2026-09-13).
Data as JSON: /api/errors/31657739c11d242e.
Report an issue: GitHub.
Appendix: source
Thrown at sdks/python/apache_beam/yaml/yaml_testing.py:188
f'test specification {identifier} '
f'has unknown attributes {list(unknown_attrs)}')
for attr_type in ('mock_inputs',
'mock_outputs',
'expected_outputs',
'expected_inputs'):
attr = test_spec.get(attr_type, [])
if not isinstance(attr, list):
raise TypeError(
f'{attr_type} of test specification {identifier} '
f'must be a list, got {type(attr_type)}')
for ix, attr_item in enumerate(attr):
if not isinstance(attr_item, dict):
raise TypeError(
f'{attr_type} {ix} of test specification {identifier} '
f'must be an object, got {type(attr_item)}')
if 'name' not in attr_item:
raise TypeError(
f'{attr_type} {ix} of test specification {identifier} '
f'missing a name')
if 'elements' not in attr_item:
raise TypeError(
f'{attr_type} {ix} of test specification {identifier} '
f'missing a elements')
if not isinstance(attr_item['elements'], list):
raise TypeError(
f'{attr_type} {ix} of test specification {identifier} '
f'must be a list, got {type(attr_item["elements"])}')
def inject_test_tranforms(spec, test_spec, fix_failures):
validate_test_spec(test_spec)
scope = yaml_transform.LightweightScope(spec['transforms'])
mocked_inputs_by_id = {
scope.get_transform_id(mock_input['name']): mock_inputView on GitHub (pinned to 12126d8942)