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GitHub Actions / Test Results failed Oct 30, 2025 in 0s

3 fail, 262 skipped, 3 939 pass in 1h 7m 8s

    4 files      4 suites   1h 7m 8s ⏱️
4 204 tests 3 939 ✅ 262 💤 3 ❌
8 368 runs  7 449 ✅ 916 💤 3 ❌

Results for commit bb0ae61.

Annotations

Check warning on line 0 in apache_beam.yaml.examples.testing.examples_test.ElementWiseTest

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 2 runs failed: test_map_to_fields_with_deps_yaml (apache_beam.yaml.examples.testing.examples_test.ElementWiseTest)

sdks/python/test-suites/tox/py312/build/srcs/sdks/python/pytest_py312_no_xdist.xml [took 3m 31s]
Raw output
ValueError: Error applying transform "ToRoman" at line 30: Traceback (most recent call last):
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/portability/expansion_service.py", line 101, in Expand
    result = pipeline.apply(
             ^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 746, in apply
    return self.apply(transform, pvalueish)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 826, in apply
    pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 191, in apply
    return self.apply_PTransform(transform, input, options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 195, in apply_PTransform
    return transform.expand(input)
           ^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/transforms/fully_qualified_named_transform.py", line 78, in expand
    return pinput | transform
           ~~~~~~~^~~~~~~~~~~
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pvalue.py", line 139, in __or__
    return self.pipeline.apply(ptransform, self)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 826, in apply
    pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 191, in apply
    return self.apply_PTransform(transform, input, options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 195, in apply_PTransform
    return transform.expand(input)
           ^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/transforms/ptransform.py", line 1032, in expand
    return self._fn(pcoll, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_errors.py", line 75, in expand
    return transform_fn(wrapped_pcoll, **kwargs).as_result(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 719, in _PyJsMapToFields
    name: _as_callable(
          ^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 396, in _as_callable
    func = _expand_python_mapping_func(original_fields, **expr)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 311, in _expand_python_mapping_func
    return python_callable.PythonCallableWithSource(source)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 48, in __init__
    self._callable = self.load_from_source(source)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 60, in load_from_source
    return cls.load_from_script(source)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 106, in load_from_script
    exec('\n'.join(lines), exec_globals)
  File "<string>", line 1, in <module>
ModuleNotFoundError: No module named 'roman'
spec = {'__line__': 30, '__uuid__': 'd930178b-949b-4316-a208-4db64dbadaf1', 'config': {'__line__': 33, '__uuid__': 'f6872f68-...rt(row):\n  return roman.toRoman(row.year)\n'}}, ...}, 'input': {'input': 'eea32fb6-7e5d-49df-833e-5cf8fc115e68'}, ...}
scope = <apache_beam.yaml.yaml_transform.Scope object at 0x7fee437ba7b0>

    def expand_leaf_transform(spec, scope):
      spec = spec.copy()
    
      # Check for optional output_schema to verify on.
      # The idea is to pass this output_schema config to the ValidateWithSchema
      # transform.
      output_schema_spec = {}
      if 'output_schema' in spec.get('config', {}):
        output_schema_spec = spec.get('config').pop('output_schema')
    
      spec = normalize_inputs_outputs(spec)
      inputs_dict = {
          key: scope.get_pcollection(value)
          for (key, value) in empty_if_explicitly_empty(spec['input']).items()
      }
      input_type = spec.get('input_type', 'default')
      if input_type == 'list':
        inputs = tuple(inputs_dict.values())
      elif input_type == 'map':
        inputs = inputs_dict
      else:
        if len(inputs_dict) == 0:
          inputs = scope.root
        elif len(inputs_dict) == 1:
          inputs = next(iter(inputs_dict.values()))
        else:
          inputs = inputs_dict
      _LOGGER.info("Expanding %s ", identify_object(spec))
      ptransform = scope.create_ptransform(spec, inputs_dict.values())
      try:
        # TODO: Move validation to construction?
        with FullyQualifiedNamedTransform.with_filter('*'):
>         outputs = inputs | scope.unique_name(spec, ptransform) >> ptransform
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

apache_beam/yaml/yaml_transform.py:519: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/pvalue.py:139: in __or__
    return self.pipeline.apply(ptransform, self)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/pipeline.py:731: in apply
    return self.apply(
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/pipeline.py:746: in apply
    return self.apply(transform, pvalueish)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/pipeline.py:826: in apply
    pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/runners/runner.py:191: in apply
    return self.apply_PTransform(transform, input, options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/runners/runner.py:195: in apply_PTransform
    return transform.expand(input)
           ^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <ExternalTransform(PTransform) label=[ExternalTransform(beam:transforms:python:fully_qualified_named)] at 0x7fee42522b10>
pvalueish = <PCollection[Create/Map(decode).None] at 0x7fee42576450>

    def expand(self, pvalueish: pvalue.PCollection) -> pvalue.PCollection:
      if isinstance(pvalueish, pvalue.PBegin):
        self._inputs = {}
      elif isinstance(pvalueish, (list, tuple)):
        self._inputs = {str(ix): pvalue for ix, pvalue in enumerate(pvalueish)}
      elif isinstance(pvalueish, dict):
        self._inputs = pvalueish
      else:
        self._inputs = {'input': pvalueish}
      pipeline = (
          next(iter(self._inputs.values())).pipeline
          if self._inputs else pvalueish.pipeline)
      context = pipeline_context.PipelineContext(
          component_id_map=pipeline.component_id_map)
      transform_proto = beam_runner_api_pb2.PTransform(
          unique_name=pipeline._current_transform().full_label,
          spec=beam_runner_api_pb2.FunctionSpec(
              urn=self._urn, payload=self._payload))
      for tag, pcoll in self._inputs.items():
        transform_proto.inputs[tag] = context.pcollections.get_id(pcoll)
        # Conversion to/from proto assumes producers.
        # TODO: Possibly loosen this.
        context.transforms.put_proto(
            '%s_%s' % (self._IMPULSE_PREFIX, tag),
            beam_runner_api_pb2.PTransform(
                unique_name='%s_%s' % (self._IMPULSE_PREFIX, tag),
                spec=beam_runner_api_pb2.FunctionSpec(
                    urn=common_urns.primitives.IMPULSE.urn),
                outputs={'out': transform_proto.inputs[tag]}))
      output_coders = None
      if self._type_hints.output_types:
        if self._type_hints.output_types[0]:
          output_coders = dict(
              (str(k), context.coder_id_from_element_type(v))
              for (k, v) in enumerate(self._type_hints.output_types[0]))
        elif self._type_hints.output_types[1]:
          output_coders = {
              k: context.coder_id_from_element_type(v)
              for (k, v) in self._type_hints.output_types[1].items()
          }
      components = context.to_runner_api()
      request = beam_expansion_api_pb2.ExpansionRequest(
          components=components,
          namespace=self._external_namespace,  # type: ignore[arg-type]
          transform=transform_proto,
          output_coder_requests=output_coders,
          pipeline_options=pipeline._options.to_runner_api())
    
      expansion_service = _maybe_use_transform_service(
          self._expansion_service, pipeline.options)
    
      with ExternalTransform.service(expansion_service) as service:
        response = service.Expand(request)
        if response.error:
>         raise RuntimeError(_sanitize_java_traceback(response.error))
E         RuntimeError: Traceback (most recent call last):
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/portability/expansion_service.py", line 101, in Expand
E             result = pipeline.apply(
E                      ^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 746, in apply
E             return self.apply(transform, pvalueish)
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 826, in apply
E             pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
E                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 191, in apply
E             return self.apply_PTransform(transform, input, options)
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 195, in apply_PTransform
E             return transform.expand(input)
E                    ^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/transforms/fully_qualified_named_transform.py", line 78, in expand
E             return pinput | transform
E                    ~~~~~~~^~~~~~~~~~~
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pvalue.py", line 139, in __or__
E             return self.pipeline.apply(ptransform, self)
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 826, in apply
E             pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
E                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 191, in apply
E             return self.apply_PTransform(transform, input, options)
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 195, in apply_PTransform
E             return transform.expand(input)
E                    ^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/transforms/ptransform.py", line 1032, in expand
E             return self._fn(pcoll, *args, **kwargs)
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_errors.py", line 75, in expand
E             return transform_fn(wrapped_pcoll, **kwargs).as_result(
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 719, in _PyJsMapToFields
E             name: _as_callable(
E                   ^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 396, in _as_callable
E             func = _expand_python_mapping_func(original_fields, **expr)
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 311, in _expand_python_mapping_func
E             return python_callable.PythonCallableWithSource(source)
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 48, in __init__
E             self._callable = self.load_from_source(source)
E                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 60, in load_from_source
E             return cls.load_from_script(source)
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 106, in load_from_script
E             exec('\n'.join(lines), exec_globals)
E           File "<string>", line 1, in <module>
E         ModuleNotFoundError: No module named 'roman'

target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/transforms/external.py:832: RuntimeError

The above exception was the direct cause of the following exception:

self = <apache_beam.yaml.examples.testing.examples_test.ElementwiseExamplesTest testMethod=test_map_to_fields_with_deps_yaml>

    @mock.patch('apache_beam.Pipeline', TestPipeline)
    def test_yaml_example(self):
      with open(pipeline_spec_file, encoding="utf-8") as f:
        lines = f.readlines()
      expected_key = '# Expected:\n'
      if expected_key in lines:
        expected = lines[lines.index('# Expected:\n') + 1:]
      else:
        raise ValueError(
            f"Missing '# Expected:' tag in example file '{pipeline_spec_file}'")
      for i, line in enumerate(expected):
        expected[i] = line.replace('#  ', '').replace('\n', '')
      expected = [line for line in expected if line]
    
      raw_spec_string = ''.join(lines)
      # Filter for any jinja preprocessor - this has to be done before other
      # preprocessors.
      jinja_preprocessor = [
          preprocessor for preprocessor in custom_preprocessors
          if 'jinja_preprocessor' in preprocessor.__name__
      ]
      if jinja_preprocessor:
        jinja_preprocessor = jinja_preprocessor[0]
        raw_spec_string = jinja_preprocessor(
            raw_spec_string, self._testMethodName)
        custom_preprocessors.remove(jinja_preprocessor)
    
      pipeline_spec = yaml.load(
          raw_spec_string, Loader=yaml_transform.SafeLineLoader)
    
      with TestEnvironment() as env:
        for fn in custom_preprocessors:
          pipeline_spec = fn(pipeline_spec, expected, env)
        with beam.Pipeline(options=PipelineOptions(
            pickle_library='cloudpickle',
            **yaml_transform.SafeLineLoader.strip_metadata(pipeline_spec.get(
                'options', {})))) as p:
          actual = [
>             yaml_transform.expand_pipeline(
                  p,
                  pipeline_spec,
                  [
                      yaml_provider.InlineProvider(
                          TEST_PROVIDERS, INPUT_TRANSFORM_TEST_PROVIDERS)
                  ])
          ]

apache_beam/yaml/examples/testing/examples_test.py:371: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
apache_beam/yaml/yaml_transform.py:1408: in expand_pipeline
    providers or {})).expand(root)
                      ^^^^^^^^^^^^
apache_beam/yaml/yaml_transform.py:1369: in expand
    result = expand_transform(
apache_beam/yaml/yaml_transform.py:482: in expand_transform
    return expand_composite_transform(spec, scope)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
apache_beam/yaml/yaml_transform.py:832: in expand_composite_transform
    return transform.expand(None)
           ^^^^^^^^^^^^^^^^^^^^^^
apache_beam/yaml/yaml_transform.py:815: in expand
    inner_scope.compute_all()
apache_beam/yaml/yaml_transform.py:209: in compute_all
    self.compute_outputs(transform_id)
apache_beam/yaml/yaml_transform.py:107: in wrapper
    self._cache[key] = func(self, *args)
                       ^^^^^^^^^^^^^^^^^
apache_beam/yaml/yaml_transform.py:245: in compute_outputs
    return expand_transform(self._transforms_by_uuid[transform_id], self)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
apache_beam/yaml/yaml_transform.py:484: in expand_transform
    return expand_leaf_transform(spec, scope)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

spec = {'__line__': 30, '__uuid__': 'd930178b-949b-4316-a208-4db64dbadaf1', 'config': {'__line__': 33, '__uuid__': 'f6872f68-...rt(row):\n  return roman.toRoman(row.year)\n'}}, ...}, 'input': {'input': 'eea32fb6-7e5d-49df-833e-5cf8fc115e68'}, ...}
scope = <apache_beam.yaml.yaml_transform.Scope object at 0x7fee437ba7b0>

    def expand_leaf_transform(spec, scope):
      spec = spec.copy()
    
      # Check for optional output_schema to verify on.
      # The idea is to pass this output_schema config to the ValidateWithSchema
      # transform.
      output_schema_spec = {}
      if 'output_schema' in spec.get('config', {}):
        output_schema_spec = spec.get('config').pop('output_schema')
    
      spec = normalize_inputs_outputs(spec)
      inputs_dict = {
          key: scope.get_pcollection(value)
          for (key, value) in empty_if_explicitly_empty(spec['input']).items()
      }
      input_type = spec.get('input_type', 'default')
      if input_type == 'list':
        inputs = tuple(inputs_dict.values())
      elif input_type == 'map':
        inputs = inputs_dict
      else:
        if len(inputs_dict) == 0:
          inputs = scope.root
        elif len(inputs_dict) == 1:
          inputs = next(iter(inputs_dict.values()))
        else:
          inputs = inputs_dict
      _LOGGER.info("Expanding %s ", identify_object(spec))
      ptransform = scope.create_ptransform(spec, inputs_dict.values())
      try:
        # TODO: Move validation to construction?
        with FullyQualifiedNamedTransform.with_filter('*'):
          outputs = inputs | scope.unique_name(spec, ptransform) >> ptransform
      except Exception as exn:
>       raise ValueError(
            f"Error applying transform {identify_object(spec)}: {exn}") from exn
E       ValueError: Error applying transform "ToRoman" at line 30: Traceback (most recent call last):
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/portability/expansion_service.py", line 101, in Expand
E           result = pipeline.apply(
E                    ^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 746, in apply
E           return self.apply(transform, pvalueish)
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 826, in apply
E           pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
E                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 191, in apply
E           return self.apply_PTransform(transform, input, options)
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 195, in apply_PTransform
E           return transform.expand(input)
E                  ^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/transforms/fully_qualified_named_transform.py", line 78, in expand
E           return pinput | transform
E                  ~~~~~~~^~~~~~~~~~~
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pvalue.py", line 139, in __or__
E           return self.pipeline.apply(ptransform, self)
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 826, in apply
E           pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
E                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 191, in apply
E           return self.apply_PTransform(transform, input, options)
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 195, in apply_PTransform
E           return transform.expand(input)
E                  ^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/transforms/ptransform.py", line 1032, in expand
E           return self._fn(pcoll, *args, **kwargs)
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_errors.py", line 75, in expand
E           return transform_fn(wrapped_pcoll, **kwargs).as_result(
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 719, in _PyJsMapToFields
E           name: _as_callable(
E                 ^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 396, in _as_callable
E           func = _expand_python_mapping_func(original_fields, **expr)
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 311, in _expand_python_mapping_func
E           return python_callable.PythonCallableWithSource(source)
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 48, in __init__
E           self._callable = self.load_from_source(source)
E                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 60, in load_from_source
E           return cls.load_from_script(source)
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 106, in load_from_script
E           exec('\n'.join(lines), exec_globals)
E         File "<string>", line 1, in <module>
E       ModuleNotFoundError: No module named 'roman'

apache_beam/yaml/yaml_transform.py:521: ValueError

Check warning on line 0 in apache_beam.yaml.examples.testing.examples_test.MLTest

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 2 runs failed: test_ml_preprocessing_yaml (apache_beam.yaml.examples.testing.examples_test.MLTest)

sdks/python/test-suites/tox/py312/build/srcs/sdks/python/pytest_py312_no_xdist.xml [took 10m 2s]
Raw output
Failed: Timeout (>600.0s) from pytest-timeout.
self = <apache_beam.yaml.examples.testing.examples_test.MLExamplesTest testMethod=test_ml_preprocessing_yaml>

    @mock.patch('apache_beam.Pipeline', TestPipeline)
    def test_yaml_example(self):
      with open(pipeline_spec_file, encoding="utf-8") as f:
        lines = f.readlines()
      expected_key = '# Expected:\n'
      if expected_key in lines:
        expected = lines[lines.index('# Expected:\n') + 1:]
      else:
        raise ValueError(
            f"Missing '# Expected:' tag in example file '{pipeline_spec_file}'")
      for i, line in enumerate(expected):
        expected[i] = line.replace('#  ', '').replace('\n', '')
      expected = [line for line in expected if line]
    
      raw_spec_string = ''.join(lines)
      # Filter for any jinja preprocessor - this has to be done before other
      # preprocessors.
      jinja_preprocessor = [
          preprocessor for preprocessor in custom_preprocessors
          if 'jinja_preprocessor' in preprocessor.__name__
      ]
      if jinja_preprocessor:
        jinja_preprocessor = jinja_preprocessor[0]
        raw_spec_string = jinja_preprocessor(
            raw_spec_string, self._testMethodName)
        custom_preprocessors.remove(jinja_preprocessor)
    
      pipeline_spec = yaml.load(
          raw_spec_string, Loader=yaml_transform.SafeLineLoader)
    
      with TestEnvironment() as env:
        for fn in custom_preprocessors:
          pipeline_spec = fn(pipeline_spec, expected, env)
        with beam.Pipeline(options=PipelineOptions(
            pickle_library='cloudpickle',
            **yaml_transform.SafeLineLoader.strip_metadata(pipeline_spec.get(
                'options', {})))) as p:
          actual = [
>             yaml_transform.expand_pipeline(
                  p,
                  pipeline_spec,
                  [
                      yaml_provider.InlineProvider(
                          TEST_PROVIDERS, INPUT_TRANSFORM_TEST_PROVIDERS)
                  ])
          ]

apache_beam/yaml/examples/testing/examples_test.py:371: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
apache_beam/yaml/yaml_transform.py:1408: in expand_pipeline
    providers or {})).expand(root)
                      ^^^^^^^^^^^^
apache_beam/yaml/yaml_transform.py:1369: in expand
    result = expand_transform(
apache_beam/yaml/yaml_transform.py:482: in expand_transform
    return expand_composite_transform(spec, scope)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
apache_beam/yaml/yaml_transform.py:832: in expand_composite_transform
    return transform.expand(None)
           ^^^^^^^^^^^^^^^^^^^^^^
apache_beam/yaml/yaml_transform.py:815: in expand
    inner_scope.compute_all()
apache_beam/yaml/yaml_transform.py:209: in compute_all
    self.compute_outputs(transform_id)
apache_beam/yaml/yaml_transform.py:107: in wrapper
    self._cache[key] = func(self, *args)
                       ^^^^^^^^^^^^^^^^^
apache_beam/yaml/yaml_transform.py:245: in compute_outputs
    return expand_transform(self._transforms_by_uuid[transform_id], self)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
apache_beam/yaml/yaml_transform.py:484: in expand_transform
    return expand_leaf_transform(spec, scope)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
apache_beam/yaml/yaml_transform.py:519: in expand_leaf_transform
    outputs = inputs | scope.unique_name(spec, ptransform) >> ptransform
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/pvalue.py:139: in __or__
    return self.pipeline.apply(ptransform, self)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/pipeline.py:731: in apply
    return self.apply(
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/pipeline.py:746: in apply
    return self.apply(transform, pvalueish)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/pipeline.py:826: in apply
    pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/runners/runner.py:191: in apply
    return self.apply_PTransform(transform, input, options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/runners/runner.py:195: in apply_PTransform
    return transform.expand(input)
           ^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/transforms/external.py:830: in expand
    response = service.Expand(request)
               ^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312/py312/lib/python3.12/site-packages/grpc/_channel.py:1178: in __call__
    ) = self._blocking(
target/.tox-py312/py312/lib/python3.12/site-packages/grpc/_channel.py:1162: in _blocking
    event = call.next_event()
            ^^^^^^^^^^^^^^^^^
src/python/grpcio/grpc/_cython/_cygrpc/channel.pyx.pxi:388: in grpc._cython.cygrpc.SegregatedCall.next_event
    ???
src/python/grpcio/grpc/_cython/_cygrpc/channel.pyx.pxi:211: in grpc._cython.cygrpc._next_call_event
    ???
src/python/grpcio/grpc/_cython/_cygrpc/channel.pyx.pxi:205: in grpc._cython.cygrpc._next_call_event
    ???
src/python/grpcio/grpc/_cython/_cygrpc/completion_queue.pyx.pxi:78: in grpc._cython.cygrpc._latent_event
    ???
src/python/grpcio/grpc/_cython/_cygrpc/completion_queue.pyx.pxi:61: in grpc._cython.cygrpc._internal_latent_event
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   Failed: Timeout (>600.0s) from pytest-timeout.

src/python/grpcio/grpc/_cython/_cygrpc/completion_queue.pyx.pxi:42: Failed

Check warning on line 0 in apache_beam.yaml.examples.testing.examples_test.MLTest

See this annotation in the file changed.

@github-actions github-actions / Test Results

1 out of 2 runs failed: test_streaming_sentiment_analysis_yaml (apache_beam.yaml.examples.testing.examples_test.MLTest)

sdks/python/test-suites/tox/py312/build/srcs/sdks/python/pytest_py312_no_xdist.xml [took 1m 35s]
Raw output
ValueError: Error applying transform "Truncating" at line 145: Traceback (most recent call last):
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/portability/expansion_service.py", line 101, in Expand
    result = pipeline.apply(
             ^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 746, in apply
    return self.apply(transform, pvalueish)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 826, in apply
    pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 191, in apply
    return self.apply_PTransform(transform, input, options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 195, in apply_PTransform
    return transform.expand(input)
           ^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/transforms/fully_qualified_named_transform.py", line 78, in expand
    return pinput | transform
           ~~~~~~~^~~~~~~~~~~
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pvalue.py", line 139, in __or__
    return self.pipeline.apply(ptransform, self)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 826, in apply
    pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 191, in apply
    return self.apply_PTransform(transform, input, options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 195, in apply_PTransform
    return transform.expand(input)
           ^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/transforms/ptransform.py", line 1032, in expand
    return self._fn(pcoll, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_errors.py", line 75, in expand
    return transform_fn(wrapped_pcoll, **kwargs).as_result(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 719, in _PyJsMapToFields
    name: _as_callable(
          ^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 396, in _as_callable
    func = _expand_python_mapping_func(original_fields, **expr)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 311, in _expand_python_mapping_func
    return python_callable.PythonCallableWithSource(source)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 48, in __init__
    self._callable = self.load_from_source(source)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 60, in load_from_source
    return cls.load_from_script(source)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 106, in load_from_script
    exec('\n'.join(lines), exec_globals)
  File "<string>", line 1, in <module>
ModuleNotFoundError: No module named 'transformers'
spec = {'__line__': 145, '__uuid__': '6cf9992d-6849-47f6-8385-f2a1e430bc41', 'config': {'__line__': 149, '__uuid__': '3248434...uncated_sentence\n'}, 'likes': {'expression': 'likes'}, ...}, ...}, 'input': {'input': 'FilterForProperComments'}, ...}
scope = <apache_beam.yaml.yaml_transform.Scope object at 0x7fee422cf3b0>

    def expand_leaf_transform(spec, scope):
      spec = spec.copy()
    
      # Check for optional output_schema to verify on.
      # The idea is to pass this output_schema config to the ValidateWithSchema
      # transform.
      output_schema_spec = {}
      if 'output_schema' in spec.get('config', {}):
        output_schema_spec = spec.get('config').pop('output_schema')
    
      spec = normalize_inputs_outputs(spec)
      inputs_dict = {
          key: scope.get_pcollection(value)
          for (key, value) in empty_if_explicitly_empty(spec['input']).items()
      }
      input_type = spec.get('input_type', 'default')
      if input_type == 'list':
        inputs = tuple(inputs_dict.values())
      elif input_type == 'map':
        inputs = inputs_dict
      else:
        if len(inputs_dict) == 0:
          inputs = scope.root
        elif len(inputs_dict) == 1:
          inputs = next(iter(inputs_dict.values()))
        else:
          inputs = inputs_dict
      _LOGGER.info("Expanding %s ", identify_object(spec))
      ptransform = scope.create_ptransform(spec, inputs_dict.values())
      try:
        # TODO: Move validation to construction?
        with FullyQualifiedNamedTransform.with_filter('*'):
>         outputs = inputs | scope.unique_name(spec, ptransform) >> ptransform
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

apache_beam/yaml/yaml_transform.py:519: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/pvalue.py:139: in __or__
    return self.pipeline.apply(ptransform, self)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/pipeline.py:731: in apply
    return self.apply(
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/pipeline.py:746: in apply
    return self.apply(transform, pvalueish)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/pipeline.py:826: in apply
    pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/runners/runner.py:191: in apply
    return self.apply_PTransform(transform, input, options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/runners/runner.py:195: in apply_PTransform
    return transform.expand(input)
           ^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <ExternalTransform(PTransform) label=[ExternalTransform(beam:transforms:python:fully_qualified_named)] at 0x7fee422ced20>
pvalueish = <PCollection[FilterForProperComments/Filter(filter).None] at 0x7fee3bd7f1d0>

    def expand(self, pvalueish: pvalue.PCollection) -> pvalue.PCollection:
      if isinstance(pvalueish, pvalue.PBegin):
        self._inputs = {}
      elif isinstance(pvalueish, (list, tuple)):
        self._inputs = {str(ix): pvalue for ix, pvalue in enumerate(pvalueish)}
      elif isinstance(pvalueish, dict):
        self._inputs = pvalueish
      else:
        self._inputs = {'input': pvalueish}
      pipeline = (
          next(iter(self._inputs.values())).pipeline
          if self._inputs else pvalueish.pipeline)
      context = pipeline_context.PipelineContext(
          component_id_map=pipeline.component_id_map)
      transform_proto = beam_runner_api_pb2.PTransform(
          unique_name=pipeline._current_transform().full_label,
          spec=beam_runner_api_pb2.FunctionSpec(
              urn=self._urn, payload=self._payload))
      for tag, pcoll in self._inputs.items():
        transform_proto.inputs[tag] = context.pcollections.get_id(pcoll)
        # Conversion to/from proto assumes producers.
        # TODO: Possibly loosen this.
        context.transforms.put_proto(
            '%s_%s' % (self._IMPULSE_PREFIX, tag),
            beam_runner_api_pb2.PTransform(
                unique_name='%s_%s' % (self._IMPULSE_PREFIX, tag),
                spec=beam_runner_api_pb2.FunctionSpec(
                    urn=common_urns.primitives.IMPULSE.urn),
                outputs={'out': transform_proto.inputs[tag]}))
      output_coders = None
      if self._type_hints.output_types:
        if self._type_hints.output_types[0]:
          output_coders = dict(
              (str(k), context.coder_id_from_element_type(v))
              for (k, v) in enumerate(self._type_hints.output_types[0]))
        elif self._type_hints.output_types[1]:
          output_coders = {
              k: context.coder_id_from_element_type(v)
              for (k, v) in self._type_hints.output_types[1].items()
          }
      components = context.to_runner_api()
      request = beam_expansion_api_pb2.ExpansionRequest(
          components=components,
          namespace=self._external_namespace,  # type: ignore[arg-type]
          transform=transform_proto,
          output_coder_requests=output_coders,
          pipeline_options=pipeline._options.to_runner_api())
    
      expansion_service = _maybe_use_transform_service(
          self._expansion_service, pipeline.options)
    
      with ExternalTransform.service(expansion_service) as service:
        response = service.Expand(request)
        if response.error:
>         raise RuntimeError(_sanitize_java_traceback(response.error))
E         RuntimeError: Traceback (most recent call last):
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/portability/expansion_service.py", line 101, in Expand
E             result = pipeline.apply(
E                      ^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 746, in apply
E             return self.apply(transform, pvalueish)
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 826, in apply
E             pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
E                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 191, in apply
E             return self.apply_PTransform(transform, input, options)
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 195, in apply_PTransform
E             return transform.expand(input)
E                    ^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/transforms/fully_qualified_named_transform.py", line 78, in expand
E             return pinput | transform
E                    ~~~~~~~^~~~~~~~~~~
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pvalue.py", line 139, in __or__
E             return self.pipeline.apply(ptransform, self)
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 826, in apply
E             pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
E                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 191, in apply
E             return self.apply_PTransform(transform, input, options)
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 195, in apply_PTransform
E             return transform.expand(input)
E                    ^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/transforms/ptransform.py", line 1032, in expand
E             return self._fn(pcoll, *args, **kwargs)
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_errors.py", line 75, in expand
E             return transform_fn(wrapped_pcoll, **kwargs).as_result(
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 719, in _PyJsMapToFields
E             name: _as_callable(
E                   ^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 396, in _as_callable
E             func = _expand_python_mapping_func(original_fields, **expr)
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 311, in _expand_python_mapping_func
E             return python_callable.PythonCallableWithSource(source)
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 48, in __init__
E             self._callable = self.load_from_source(source)
E                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 60, in load_from_source
E             return cls.load_from_script(source)
E                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 106, in load_from_script
E             exec('\n'.join(lines), exec_globals)
E           File "<string>", line 1, in <module>
E         ModuleNotFoundError: No module named 'transformers'

target/.tox-py312/py312/lib/python3.12/site-packages/apache_beam/transforms/external.py:832: RuntimeError

The above exception was the direct cause of the following exception:

self = <apache_beam.yaml.examples.testing.examples_test.MLExamplesTest testMethod=test_streaming_sentiment_analysis_yaml>

    @mock.patch('apache_beam.Pipeline', TestPipeline)
    def test_yaml_example(self):
      with open(pipeline_spec_file, encoding="utf-8") as f:
        lines = f.readlines()
      expected_key = '# Expected:\n'
      if expected_key in lines:
        expected = lines[lines.index('# Expected:\n') + 1:]
      else:
        raise ValueError(
            f"Missing '# Expected:' tag in example file '{pipeline_spec_file}'")
      for i, line in enumerate(expected):
        expected[i] = line.replace('#  ', '').replace('\n', '')
      expected = [line for line in expected if line]
    
      raw_spec_string = ''.join(lines)
      # Filter for any jinja preprocessor - this has to be done before other
      # preprocessors.
      jinja_preprocessor = [
          preprocessor for preprocessor in custom_preprocessors
          if 'jinja_preprocessor' in preprocessor.__name__
      ]
      if jinja_preprocessor:
        jinja_preprocessor = jinja_preprocessor[0]
        raw_spec_string = jinja_preprocessor(
            raw_spec_string, self._testMethodName)
        custom_preprocessors.remove(jinja_preprocessor)
    
      pipeline_spec = yaml.load(
          raw_spec_string, Loader=yaml_transform.SafeLineLoader)
    
      with TestEnvironment() as env:
        for fn in custom_preprocessors:
          pipeline_spec = fn(pipeline_spec, expected, env)
        with beam.Pipeline(options=PipelineOptions(
            pickle_library='cloudpickle',
            **yaml_transform.SafeLineLoader.strip_metadata(pipeline_spec.get(
                'options', {})))) as p:
          actual = [
>             yaml_transform.expand_pipeline(
                  p,
                  pipeline_spec,
                  [
                      yaml_provider.InlineProvider(
                          TEST_PROVIDERS, INPUT_TRANSFORM_TEST_PROVIDERS)
                  ])
          ]

apache_beam/yaml/examples/testing/examples_test.py:371: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
apache_beam/yaml/yaml_transform.py:1408: in expand_pipeline
    providers or {})).expand(root)
                      ^^^^^^^^^^^^
apache_beam/yaml/yaml_transform.py:1369: in expand
    result = expand_transform(
apache_beam/yaml/yaml_transform.py:482: in expand_transform
    return expand_composite_transform(spec, scope)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
apache_beam/yaml/yaml_transform.py:832: in expand_composite_transform
    return transform.expand(None)
           ^^^^^^^^^^^^^^^^^^^^^^
apache_beam/yaml/yaml_transform.py:815: in expand
    inner_scope.compute_all()
apache_beam/yaml/yaml_transform.py:209: in compute_all
    self.compute_outputs(transform_id)
apache_beam/yaml/yaml_transform.py:107: in wrapper
    self._cache[key] = func(self, *args)
                       ^^^^^^^^^^^^^^^^^
apache_beam/yaml/yaml_transform.py:245: in compute_outputs
    return expand_transform(self._transforms_by_uuid[transform_id], self)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
apache_beam/yaml/yaml_transform.py:484: in expand_transform
    return expand_leaf_transform(spec, scope)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

spec = {'__line__': 145, '__uuid__': '6cf9992d-6849-47f6-8385-f2a1e430bc41', 'config': {'__line__': 149, '__uuid__': '3248434...uncated_sentence\n'}, 'likes': {'expression': 'likes'}, ...}, ...}, 'input': {'input': 'FilterForProperComments'}, ...}
scope = <apache_beam.yaml.yaml_transform.Scope object at 0x7fee422cf3b0>

    def expand_leaf_transform(spec, scope):
      spec = spec.copy()
    
      # Check for optional output_schema to verify on.
      # The idea is to pass this output_schema config to the ValidateWithSchema
      # transform.
      output_schema_spec = {}
      if 'output_schema' in spec.get('config', {}):
        output_schema_spec = spec.get('config').pop('output_schema')
    
      spec = normalize_inputs_outputs(spec)
      inputs_dict = {
          key: scope.get_pcollection(value)
          for (key, value) in empty_if_explicitly_empty(spec['input']).items()
      }
      input_type = spec.get('input_type', 'default')
      if input_type == 'list':
        inputs = tuple(inputs_dict.values())
      elif input_type == 'map':
        inputs = inputs_dict
      else:
        if len(inputs_dict) == 0:
          inputs = scope.root
        elif len(inputs_dict) == 1:
          inputs = next(iter(inputs_dict.values()))
        else:
          inputs = inputs_dict
      _LOGGER.info("Expanding %s ", identify_object(spec))
      ptransform = scope.create_ptransform(spec, inputs_dict.values())
      try:
        # TODO: Move validation to construction?
        with FullyQualifiedNamedTransform.with_filter('*'):
          outputs = inputs | scope.unique_name(spec, ptransform) >> ptransform
      except Exception as exn:
>       raise ValueError(
            f"Error applying transform {identify_object(spec)}: {exn}") from exn
E       ValueError: Error applying transform "Truncating" at line 145: Traceback (most recent call last):
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/portability/expansion_service.py", line 101, in Expand
E           result = pipeline.apply(
E                    ^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 746, in apply
E           return self.apply(transform, pvalueish)
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 826, in apply
E           pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
E                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 191, in apply
E           return self.apply_PTransform(transform, input, options)
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 195, in apply_PTransform
E           return transform.expand(input)
E                  ^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/transforms/fully_qualified_named_transform.py", line 78, in expand
E           return pinput | transform
E                  ~~~~~~~^~~~~~~~~~~
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pvalue.py", line 139, in __or__
E           return self.pipeline.apply(ptransform, self)
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/pipeline.py", line 826, in apply
E           pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
E                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 191, in apply
E           return self.apply_PTransform(transform, input, options)
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/runners/runner.py", line 195, in apply_PTransform
E           return transform.expand(input)
E                  ^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/transforms/ptransform.py", line 1032, in expand
E           return self._fn(pcoll, *args, **kwargs)
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_errors.py", line 75, in expand
E           return transform_fn(wrapped_pcoll, **kwargs).as_result(
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 719, in _PyJsMapToFields
E           name: _as_callable(
E                 ^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 396, in _as_callable
E           func = _expand_python_mapping_func(original_fields, **expr)
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/yaml/yaml_mapping.py", line 311, in _expand_python_mapping_func
E           return python_callable.PythonCallableWithSource(source)
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 48, in __init__
E           self._callable = self.load_from_source(source)
E                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 60, in load_from_source
E           return cls.load_from_script(source)
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py312/build/srcs/sdks/python/apache_beam/utils/python_callable.py", line 106, in load_from_script
E           exec('\n'.join(lines), exec_globals)
E         File "<string>", line 1, in <module>
E       ModuleNotFoundError: No module named 'transformers'

apache_beam/yaml/yaml_transform.py:521: ValueError