apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: FAILED, Error:
Workflow failed. Causes: Job appears to be stuck. Several workers have failed to start up in a row, and no worker has successfully started up for this job. Last error reported: Unable to pull container image due to error: image pull request failed with error: Error response from daemon: manifest for us.gcr.io/apache-beam-testing/github-actions/prebuild_python310_sdk/beam_python_prebuilt_sdk:0b226047-bfd1-4522-90ed-d9f0de8a7966 not found: manifest unknown: Failed to fetch "0b226047-bfd1-4522-90ed-d9f0de8a7966" from request "/v2/apache-beam-testing/github-actions/prebuild_python310_sdk/beam_python_prebuilt_sdk/manifests/0b226047-bfd1-4522-90ed-d9f0de8a7966".. This is likely due to an invalid SDK container image URL. Please verify any provided SDK container image is valid and that Dataflow workers have permissions to pull image..
self = <apache_beam.examples.wordcount_it_test.WordCountIT testMethod=test_wordcount_it_with_prebuilt_sdk_container_local_docker>

    @pytest.mark.it_validatescontainer
    def test_wordcount_it_with_prebuilt_sdk_container_local_docker(self):
>     self._run_wordcount_it(
          wordcount.run,
          experiment='beam_fn_api',
          prebuild_sdk_container_engine='local_docker')

apache_beam/examples/wordcount_it_test.py:95: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
apache_beam/examples/wordcount_it_test.py:150: in _run_wordcount_it
    run_wordcount(
apache_beam/examples/wordcount.py:87: in run
    with beam.Pipeline(options=pipeline_options) as p:
apache_beam/pipeline.py:613: in __exit__
    self.result = self.run()
apache_beam/pipeline.py:563: in run
    self._options).run(False)
apache_beam/pipeline.py:587: in run
    return self.runner.run_pipeline(self, self._options)
apache_beam/runners/dataflow/test_dataflow_runner.py:66: in run_pipeline
    self.result.wait_until_finish(duration=wait_duration)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <DataflowPipelineResult <Job
 clientRequestId: '20240415115516533663-4621'
 createTime: '2024-04-15T11:55:17.538312Z'
...024-04-15T11:55:17.538312Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> at 0x78cfa6a90d60>
duration = None

    def wait_until_finish(self, duration=None):
      if not self.is_in_terminal_state():
        if not self.has_job:
          raise IOError('Failed to get the Dataflow job id.')
        consoleUrl = (
            "Console URL: https://console.cloud.google.com/"
            f"dataflow/jobs/<RegionId>/{self.job_id()}"
            "?project=<ProjectId>")
        thread = threading.Thread(
            target=DataflowRunner.poll_for_job_completion,
            args=(self._runner, self, duration))
    
        # Mark the thread as a daemon thread so a keyboard interrupt on the main
        # thread will terminate everything. This is also the reason we will not
        # use thread.join() to wait for the polling thread.
        thread.daemon = True
        thread.start()
        while thread.is_alive():
          time.sleep(5.0)
    
        # TODO: Merge the termination code in poll_for_job_completion and
        # is_in_terminal_state.
        terminated = self.is_in_terminal_state()
        assert duration or terminated, (
            'Job did not reach to a terminal state after waiting indefinitely. '
            '{}'.format(consoleUrl))
    
        if terminated and self.state != PipelineState.DONE:
          # TODO(BEAM-1290): Consider converting this to an error log based on
          # theresolution of the issue.
          _LOGGER.error(consoleUrl)
>         raise DataflowRuntimeException(
              'Dataflow pipeline failed. State: %s, Error:\n%s' %
              (self.state, getattr(self._runner, 'last_error_msg', None)),
E             apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: FAILED, Error:
E             Workflow failed. Causes: Job appears to be stuck. Several workers have failed to start up in a row, and no worker has successfully started up for this job. Last error reported: Unable to pull container image due to error: image pull request failed with error: Error response from daemon: manifest for us.gcr.io/apache-beam-testing/github-actions/prebuild_python310_sdk/beam_python_prebuilt_sdk:0b226047-bfd1-4522-90ed-d9f0de8a7966 not found: manifest unknown: Failed to fetch "0b226047-bfd1-4522-90ed-d9f0de8a7966" from request "/v2/apache-beam-testing/github-actions/prebuild_python310_sdk/beam_python_prebuilt_sdk/manifests/0b226047-bfd1-4522-90ed-d9f0de8a7966".. This is likely due to an invalid SDK container image URL. Please verify any provided SDK container image is valid and that Dataflow workers have permissions to pull image..

apache_beam/runners/dataflow/dataflow_runner.py:780: DataflowRuntimeException