这是indexloc提供的服务,不要输入任何密码
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Automated: Migrate paths from gsutil to gcloud storage

This CL is part of the on going effort to migrate from the legacy gsutil tool to the new and improved gcloud storage command-line interface. gcloud storage is the recommended and modern tool for interacting with Google Cloud Storage, offering better performance, unified authentication, and a more consistent command structure with other gcloud components. 🚀

Automation Details

This change was generated automatically by an agent that targets users of gsutil.
The transformations applied are based on the gsutil to gcloud storage migration guide.

⚠️ Action Required: Please Review and Test Carefully

While we have based the automation on the migration guide, every use case is unique.
It is crucial that you thoroughly test these changes in environments appropriate to your use-case before merging.
Be aware of potential differences between gsutil and gcloud storage that could impact your workflows.
For instance, the structure of command output may have changed, requiring updates to any scripts that parse it. Similarly, command behavior can differ subtly; the gcloud storage rsync command has a different file deletion logic than gsutil rsync, which could lead to unintended file deletions.

Our migration guides can help guide you through a list of mappings and some notable differences between the two tools.

Standard presubmit tests are run as part of this CL's workflow. If you need to target an additional test workflow or require assistance with testing, please let us know.

Please verify that all your Cloud Storage operations continue to work as expected to avoid any potential disruptions in production.

Support and Collaboration

The GCS CLI team is here to help! If you encounter any issues, have a complex use case that this automated change doesn't cover, or face any other blockers, please don't hesitate to reach out.
We are happy to work with you to test and adjust these changes as needed.

Contact: gcs-cli-hyd@google.com

We appreciate your partnership in this important migration effort!

cc: @sushantkhanna

@googlyrahman googlyrahman requested a review from a team as a code owner October 17, 2025 20:09
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Summary of Changes

Hello @googlyrahman, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request updates a Jupyter notebook to use the modern gcloud storage command-line interface instead of the legacy gsutil tool for interacting with Google Cloud Storage. The change, which was automatically generated, aims to align with Google's recommended practices for cloud storage operations, offering improved performance and a more consistent command structure. It is crucial for reviewers to carefully test the updated commands to ensure compatibility and prevent any unintended disruptions due to potential behavioral differences between the two tools.

Highlights

  • Migration to gcloud storage: This pull request migrates existing gsutil commands to their gcloud storage equivalents within a Jupyter notebook. This is part of an ongoing effort to standardize interactions with Google Cloud Storage using the recommended gcloud storage tool.
  • Automated Change: The changes in this pull request were generated automatically by an agent targeting gsutil users, based on the official migration guide.
  • Command Replacements: Specific gsutil commands such as mb (make bucket), ls (list objects), cp (copy objects), and rm (remove objects) have been replaced with their respective gcloud storage commands, including buckets create, ls --all-versions --long, cp, and rm --recursive --continue-on-error.
  • Action Required: Review and Test: Reviewers are strongly advised to thoroughly test these changes, as gcloud storage may have subtle behavioral differences or output variations compared to gsutil, which could impact existing workflows or scripts.
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@googlyrahman
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Hi @holtskinner, Can we get your review on this PR? Thanks!

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Code Review

This pull request automatically migrates gsutil commands to their gcloud storage equivalents within a Jupyter notebook. The automated migration is mostly accurate, but I've identified a critical issue with the gcloud storage rm command. The current implementation will fail because it's missing a required wildcard for deleting objects within a bucket. I have provided a specific code suggestion to correct this, ensuring the cleanup step in the notebook functions as intended.

"if delete_bucket or os.getenv(\"IS_TESTING\"):\n",
" ! gsutil rm -rf {BUCKET_URI}\n",
"\n",
" ! gcloud storage rm --recursive --continue-on-error {BUCKET_URI}\n", "\n",
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high

The gcloud storage rm --recursive command is not the correct equivalent for gsutil rm -r when deleting all objects in a bucket. To delete all objects within the bucket without deleting the bucket itself, you must append a /** wildcard to the bucket URI. Without this, the command will attempt to delete the bucket object, which will fail if the bucket is not empty.

See the migration guide for more details.

    ! gcloud storage rm --recursive --continue-on-error {BUCKET_URI}/**\n

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