prk-psv-revise

Automate PSV sample revision by reading updated QA feedback, applying targeted fixes, and triggering automatic re-validation to replace failed entries without manual rework.

Applying QA feedback to a YAML batch involves extracting issues from the original file, applying fixes to the failed PSV samples, and replacing revised entries while preserving metadata.

Yes, batch-level updates apply to QA batches marked REVISED, enabling end-to-end revision across samples while maintaining original metadata and triggering automatic re-validation.

Yes, extracting issues and regenerating PSV samples requires access to the original YAML batch and the PSV generation tooling to apply fixes and replace revised entries accurately.

Automatic re-validation of revised PSV samples fails when the QA feedback is not properly extracted from the YAML batch or when the revision workflow cannot access the required PSV generation tooling.

Yes, the PSV revision workflow preserves metadata during batch processing, ensuring that applying QA feedback and replacing revised entries does not alter the original sample attributes.