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https://issues.apache.org/jira/browse/BEAM-9318?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17121683#comment-17121683
]
Kenneth Knowles commented on BEAM-9318:
---------------------------------------
This issue is assigned but has not received an update in 30 days so it has been
labeled "stale-assigned". If you are still working on the issue, please give an
update and remove the label. If you are no longer working on the issue, please
unassign so someone else may work on it. In 7 days the issue will be
automatically unassigned.
> Py 2 Precommit Flake: PortableRunnerTestWithLocalDocker test flaky
> ------------------------------------------------------------------
>
> Key: BEAM-9318
> URL: https://issues.apache.org/jira/browse/BEAM-9318
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core, testing
> Reporter: Ahmet Altay
> Assignee: Robert Bradshaw
> Priority: P2
> Labels: stale-assigned
>
> Log: [https://builds.apache.org/job/beam_PreCommit_Python_Commit/11178/]
> Precommit PR: (This looks like an unrelated change):
> https://github.com/apache/beam/pull/10856
> Maybe result object is not available yet?
> Error:
> 08:29:55 self =
> <apache_beam.runners.portability.portable_runner_test.PortableRunnerTestWithLocalDocker
> testMethod=test_metrics>
> 08:29:55 check_gauge = True
> 08:29:55
> 08:29:55 def test_metrics(self, check_gauge=True):
> 08:29:55 p = self.create_pipeline()
> 08:29:55
> 08:29:55 counter = beam.metrics.Metrics.counter('ns', 'counter')
> 08:29:55 distribution = beam.metrics.Metrics.distribution('ns',
> 'distribution')
> 08:29:55 gauge = beam.metrics.Metrics.gauge('ns', 'gauge')
> 08:29:55
> 08:29:55 pcoll = p | beam.Create(['a', 'zzz'])
> 08:29:55 # pylint: disable=expression-not-assigned
> 08:29:55 pcoll | 'count1' >> beam.FlatMap(lambda x: counter.inc())
> 08:29:55 pcoll | 'count2' >> beam.FlatMap(lambda x: counter.inc(len(x)))
> 08:29:55 pcoll | 'dist' >> beam.FlatMap(lambda x: distribution.update(len(x)))
> 08:29:55 pcoll | 'gauge' >> beam.FlatMap(lambda x: gauge.set(3))
> 08:29:55
> 08:29:55 res = p.run()
> 08:29:55 res.wait_until_finish()
> 08:29:55 > c1, =
> res.metrics().query(beam.metrics.MetricsFilter().with_step('count1'))[
> 08:29:55 'counters']
> 08:29:55
> 08:29:55 apache_beam/runners/portability/fn_api_runner_test.py:699:
> 08:29:55 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _ _ _ _ _ _
> 08:29:55 apache_beam/runners/portability/portable_runner.py:415: in metrics
> 08:29:55 beam_job_api_pb2.GetJobMetricsRequest(job_id=self._job_id))
> 08:29:55 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _ _ _ _ _ _
> 08:29:55
> 08:29:55 self =
> <apache_beam.runners.portability.local_job_service.LocalJobServicer object at
> 0x7f5ada471590>
> 08:29:55 request = job_id: "job-be9e2a01-154f-4707-b04a-3d7ffbc39afb"
> 08:29:55 , context = None
> 08:29:55
> 08:29:55 def GetJobMetrics(self, request, context=None):
> 08:29:55 if request.job_id not in self._jobs:
> 08:29:55 raise LookupError("Job {} does not exist".format(request.job_id))
> 08:29:55
> 08:29:55 result = self._jobs[request.job_id].result
> 08:29:55 monitoring_info_list = []
> 08:29:55 > for mi in result._monitoring_infos_by_stage.values():
> 08:29:55 E AttributeError: 'NoneType' object has no attribute
> '_monitoring_infos_by_stage'
> 08:29:55
> 08:29:55 apache_beam/runners/portability/local_job_service.py:157:
> AttributeError
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