Add invalidate_revision for data quality-driven refetch#81
Merged
Conversation
DatasetStore.invalidate_revision(dataset, reason) marks the current revision as VALIDATION_FAILED and resets last_modified_at. On the next run, should_refetch returns True for VALIDATION_FAILED revisions, causing ingestify to refetch and create a new revision. Emits RevisionInvalidated event for audit trail / alerting.
koenvo
force-pushed
the
feature/refetch-validation-failed
branch
from
74940f4 to
d4987e6
Compare
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
DatasetStore.invalidate_revision(dataset, reason) marks the current revision as VALIDATION_FAILED and resets last_modified_at. On the next run, should_refetch returns True for VALIDATION_FAILED revisions, causing ingestify to refetch and create a new revision.
Emits RevisionInvalidated event for audit trail / alerting.