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https://issues.apache.org/jira/browse/BEAM-13734?focusedWorklogId=717405&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-717405
 ]

ASF GitHub Bot logged work on BEAM-13734:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 29/Jan/22 00:09
            Start Date: 29/Jan/22 00:09
    Worklog Time Spent: 10m 
      Work Description: VictorPlusC commented on a change in pull request 
#16601:
URL: https://github.com/apache/beam/pull/16601#discussion_r794963492



##########
File path: sdks/python/apache_beam/runners/interactive/utils_test.py
##########
@@ -42,6 +42,30 @@
 from apache_beam.utils.timestamp import Timestamp
 from apache_beam.utils.windowed_value import WindowedValue
 
+# Protect against environments where apitools library is not available.
+try:
+  from apitools.base.py.exceptions import HttpError
+  from apitools.base.py.exceptions import HttpNotFoundError
+except ImportError:

Review comment:
       I've added this code now, these unit tests should be skipped now if 
_http_error_imported is False.




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Issue Time Tracking
-------------------

    Worklog Id:     (was: 717405)
    Time Spent: 12h 10m  (was: 12h)

> 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: 12h 10m
>  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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