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https://issues.apache.org/jira/browse/BEAM-5785?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Valentyn Tymofieiev updated BEAM-5785:
--------------------------------------
Summary: Validates runner tests fail with: Cannot convert bytes value to
JSON value (was: A ValidatesRunner test failed on Python 3)
> Validates runner tests fail with: Cannot convert bytes value to JSON value
> --------------------------------------------------------------------------
>
> Key: BEAM-5785
> URL: https://issues.apache.org/jira/browse/BEAM-5785
> Project: Beam
> Issue Type: Bug
> Components: test-failures
> Reporter: Mark Liu
> Assignee: Valentyn Tymofieiev
> Priority: Major
>
> I run a random ValidatesRunner test on Python 3 with TestsDataflowRunner. The
> test failed before submitting job to the service.
> More details about my env and test:
> Python version: 3.5.3
> Test:
> apache_beam.transforms.ptransform_test:PTransformTest.test_multiple_empty_outputs
> Command:
> {code}
> python setup.py nosetests \
> --tests
> apache_beam.transforms.ptransform_test:PTransformTest.test_multiple_empty_outputs
> \
> --nocapture \
> --test-pipeline-options=" \
> --runner=TestDataflowRunner \
> --project=<my_project> \
> --staging_location=<my_staging> \
> --temp_location=<my_temp> \
> --output=<my_output> \
>
>
> --sdk_location=.../beam/sdks/python/dist/apache-beam-2.9.0.dev0.tar.gz \
> --num_workers=1"
> {code}
> Here are the stacktrace from my console:
> {code}
> ======================================================================
> ERROR: test_multiple_empty_outputs
> (apache_beam.transforms.ptransform_test.PTransformTest)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/transforms/ptransform_test.py",
> line 284, in test_multiple_empty_outputs
> pipeline.run()
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/testing/test_pipeline.py",
> line 107, in run
> else test_runner_api))
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/pipeline.py",
> line 403, in run
> self.to_runner_api(), self.runner, self._options).run(False)
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/pipeline.py",
> line 416, in run
> return self.runner.run_pipeline(self)
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/runners/dataflow/test_dataflow_runner.py",
> line 50, in run_pipeline
> self.result = super(TestDataflowRunner, self).run_pipeline(pipeline)
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",
> line 374, in run_pipeline
> super(DataflowRunner, self).run_pipeline(pipeline)
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/runners/runner.py",
> line 176, in run_pipeline
> pipeline.visit(RunVisitor(self))
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/pipeline.py",
> line 444, in visit
> self._root_transform().visit(visitor, self, visited)
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/pipeline.py",
> line 780, in visit
> part.visit(visitor, pipeline, visited)
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/pipeline.py",
> line 780, in visit
> part.visit(visitor, pipeline, visited)
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/pipeline.py",
> line 783, in visit
> visitor.visit_transform(self)
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/runners/runner.py",
> line 171, in visit_transform
> self.runner.run_transform(transform_node)
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/runners/runner.py",
> line 214, in run_transform
> return m(transform_node)
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",
> line 846, in run_Read
> source_dict)
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/runners/dataflow/internal/apiclient.py",
> line 85, in add_property
> key=name, value=to_json_value(value, with_type=with_type)))
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/internal/gcp/json_value.py",
> line 104, in to_json_value
> key=k, value=to_json_value(v, with_type=with_type)))
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/internal/gcp/json_value.py",
> line 104, in to_json_value
> key=k, value=to_json_value(v, with_type=with_type)))
> File
> "/usr/local/google/home/markliu/beam/sdks/python/apache_beam/internal/gcp/json_value.py",
> line 124, in to_json_value
> raise TypeError('Cannot convert %s to a JSON value.' % repr(obj))
> TypeError: Cannot convert
> b'eNpVjrEKwjAURRNjq6ZOfkVd8hOZxFGQLhJe0ycW2saXpA5CQf/ctro4Xc7hwr0vYeEO9oamRGhV9NCFq/NtUNYjRDTB9d6iNHrG05eI7d/EB1rkRcYYM9FFaEyon0jiKIrd5AL6GppRVeYBTY+BlhdKcs05pZoLWmme0BqLdCpbV6Gnzd+X2YVfyDP4Qxf1BJLkOJ8NtC37Un0AfYQ+kQ=='
> to a JSON value.
> -------------------- >> begin captured logging << --------------------
> avro.schema: Level 5: Register new name for 'org.apache.avro.file.Header'
> avro.schema: Level 5: Register new name for 'org.apache.avro.file.magic'
> avro.schema: Level 5: Register new name for 'org.apache.avro.file.sync'
> avro.schema: Level 5: Register new name for 'example.avro.User'
> root: WARNING: snappy is not installed; some tests will be skipped.
> avro.schema: Level 5: Register new name for 'example.avro.User'
> root: WARNING: Tensorflow is not installed, so skipping some tests.
> root: ERROR: Error while visiting Some Numbers/Read
> --------------------- >> end captured logging << ---------------------
> Ran 1 test in 1.319s
> {code}
> How to reproduce:
> 1. create virtualenv with python 3
> 2. install gcp,test dependencies
> 3. build python tar file
> 4. run test
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