chore: regenerate models from upstream schemas #11
Loading…
Add table
Add a link
Reference in a new issue
No description provided.
Delete branch "automated/regenerate-models"
Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?
Summary
Automated regeneration of extension models from upstream provider schemas.
Schema Sources
Review Notes
model/are auto-generated — review themanifest.yamldiffs for version changesCode Review
Blocking Issues
None.
Suggestions
description: "No schema changes", but each model does include schema changes — new optional fields (NetworkInterface,InstanceRequirementsin sagemaker/cluster; per-GPU accelerator fields in dataproc/batches and dataproc/sessions;sizeAboveBytes/sizeBelowBytesin storage/buckets) andInstanceTypebeing relaxed from required to optional in sagemaker/cluster. These are all non-breaking additions, so the pass-throughupgradeAttributes: (old) => oldis correct. But the description field is misleading. If the codegen pipeline can detect non-breaking field additions, a description like"Added optional fields from upstream schema update"would be more informative for anyone reading the upgrade history.Context on model-only changes: This PR contains no
codegen/changes, but the changed model files are clearly auto-generated output (auto-gen header comment, consistent Zod structure, bot-authored commit fromforgejo-actions[bot]). The preceding regeneration commit (563f4073) follows the same pattern —model/changes only, nocodegen/changes — confirming this is the normal daily upstream schema regeneration workflow where the pipeline is unchanged and only the input schemas from AWS/GCP have evolved.