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https://issues.apache.org/jira/browse/BEAM-13734?focusedWorklogId=717249&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-717249
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ASF GitHub Bot logged work on BEAM-13734:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 28/Jan/22 19:59
Start Date: 28/Jan/22 19:59
Worklog Time Spent: 10m
Work Description: VictorPlusC commented on a change in pull request
#16601:
URL: https://github.com/apache/beam/pull/16601#discussion_r794851154
##########
File path: sdks/python/apache_beam/runners/interactive/utils_test.py
##########
@@ -327,5 +345,29 @@ def test_create_var_in_main(self):
self.assertIs(getattr(main_session, name, None), value)
+@patch(
+ 'apache_beam.io.gcp.internal.clients.storage.StorageV1',
+ return_value=MockStorageClient())
+class GCSUtilsTest(unittest.TestCase):
+ @patch(
+ 'apache_beam.io.gcp.internal.clients.storage.StorageBucketsGetRequest',
+ return_value='test-bucket-not-found')
+ def test_assert_bucket_exists_not_found(self, mock_client, mock):
+ with self.assertRaises(ValueError):
+ utils.assert_bucket_exists('')
+
+ @patch(
+ 'apache_beam.io.gcp.internal.clients.storage.StorageBucketsGetRequest',
+ return_value='test-bucket-not-verified')
Review comment:
Yes, I've included some additional code to check for the logger warning
now.
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Issue Time Tracking
-------------------
Worklog Id: (was: 717249)
Time Spent: 8h 50m (was: 8h 40m)
> Support cache directories that use GCS buckets
> ----------------------------------------------
>
> Key: BEAM-13734
> URL: https://issues.apache.org/jira/browse/BEAM-13734
> Project: Beam
> Issue Type: New Feature
> Components: runner-py-interactive
> Reporter: Victor Chen
> Assignee: Victor Chen
> Priority: P2
> Time Spent: 8h 50m
> Remaining Estimate: 0h
>
> * Builds off of the work accomplished under BEAM-13685
> * Modified interactive_environment.py to support caching to a bucket on GCS
> for batch processing pipelines
> * If a specified bucket does not exist, the pipeline will terminate and
> return an error specifying that the bucket does not exist
> * Added cleanup() functionality to cache_manager.py, to enable the
> FileBasedCacheManager class to automatically delete cached values on GCS when
> a bucket path is specified
> * Added docstring to interactive_beam.py with an example of GCS path
> assignment
> * Cached files on GCS will be stored under a directory represented by the
> value of id(pipeline).
> ** Example cached path: gs://my-gcs-bucket/cache/dir/id(pipeline)
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