[
https://issues.apache.org/jira/browse/BEAM-9318?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17131070#comment-17131070
]
Beam JIRA Bot commented on BEAM-9318:
-------------------------------------
This issue was marked "stale-assigned" and has not received a public comment in
7 days. It is now automatically unassigned. If you are still working on it, you
can assign it to yourself again. Please also give an update about the status of
the work.
> 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
> Priority: P1
> Labels: beam-fixit, flake
>
> 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
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
