Valentyn Tymofieiev created BEAM-8977:
-----------------------------------------
Summary:
apache_beam.runners.interactive.display.pcoll_visualization_test.PCollectionVisualizationTest.test_dynamic_plotting_update_same_display
is flaky
Key: BEAM-8977
URL: https://issues.apache.org/jira/browse/BEAM-8977
Project: Beam
Issue Type: Bug
Components: test-failures
Reporter: Valentyn Tymofieiev
Assignee: Ning Kang
Sample failure:
[https://builds.apache.org/job/beam_PreCommit_Python_Phrase/1273/testReport/apache_beam.runners.interactive.display.pcoll_visualization_test/PCollectionVisualizationTest/test_dynamic_plotting_update_same_display/]
Error Message
IndexError: list index out of range
Stacktrace
self =
<apache_beam.runners.interactive.display.pcoll_visualization_test.PCollectionVisualizationTest
testMethod=test_dynamic_plotting_update_same_display>
mocked_display_facets = <MagicMock name='display_facets' id='139889868386376'>
@patch('apache_beam.runners.interactive.display.pcoll_visualization'
'.PCollectionVisualization.display_facets')
def test_dynamic_plotting_update_same_display(self,
mocked_display_facets):
fake_pipeline_result = runner.PipelineResult(runner.PipelineState.RUNNING)
ie.current_env().set_pipeline_result(self._p, fake_pipeline_result)
# Starts async dynamic plotting that never ends in this test.
h = pv.visualize(self._pcoll, dynamic_plotting_interval=0.001)
# Blocking so the above async task can execute some iterations.
time.sleep(1)
# The first iteration doesn't provide updating_pv to display_facets.
_, first_kwargs = mocked_display_facets.call_args_list[0]
self.assertEqual(first_kwargs, {})
# The following iterations use the same updating_pv to display_facets and so
# on.
> _, second_kwargs = mocked_display_facets.call_args_list[1]
E IndexError: list index out of range
apache_beam/runners/interactive/display/pcoll_visualization_test.py:105:
IndexError
Standard Output
<IPython.core.display.HTML object>
Standard Error
WARNING:apache_beam.runners.interactive.interactive_environment:You cannot use
Interactive Beam features when you are not in an interactive environment such
as a Jupyter notebook or ipython terminal.
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