Attempt to fix tag recognizer workflows flakiness

[edg956]

Describe your changes:

Fixes

I worked on ... because ...

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Summary by Gitar

• Workflow data prefetching:
  • Fetch RecognizerFeedback entity once in WorkflowEventConsumer.handleTagRecognizerFeedback() and pass as serialized JSON workflow variable to eliminate redundant database queries during task execution
  • Refactored 4 workflow task implementations (ApplyRecognizerFeedbackImpl, RejectRecognizerFeedbackImpl, CheckFeedbackSubmitterIsReviewerImpl, CreateRecognizerFeedbackApprovalTaskImpl) to use pre-fetched data
• Schema updates:
  • Added recognizerFeedback input parameter to 3 task schemas with proper namespace mapping and regenerated TypeScript types
• Test improvements:
  • Made TagRecognizerFeedbackIT tests retryable (@RetryingTest(3)) with increased timeout (3→5 minutes) to handle transient failures
  • Added cleanup steps in TestSuiteBootstrap for proper test isolation
  • Recovered Maven profiles configuration and updated Docker images in pom.xml

_{This will update automatically on new commits.}

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Type of change:

• Bug fix
• Improvement
• New feature
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Documentation

Checklist:

• I have read the CONTRIBUTING document.
• My PR title is Fixes <issue-number>: <short explanation>
• I have commented on my code, particularly in hard-to-understand areas.
• For JSON Schema changes: I updated the migration scripts or explained why it is not needed.

[github-actions]

Jest test Coverage

UI tests summary

Lines	Statements	Branches	Functions
	65.76% (56045/85231)	45.15% (29339/64979)	47.91% (8850/18471)

[github-actions]

TypeScript types have been updated based on the JSON schema changes in the PR

[github-actions]

The Java checkstyle failed.

Please run mvn spotless:apply in the root of your repository and commit the changes to this PR.
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[gitar-bot]

🔍 CI failure analysis for e86d5e8: 6 DataProductResourceTest failures in maven-sonarcloud-ci are unrelated to PR (no code overlap). PR only modifies workflow/recognizer feedback code. Previous 99% integration test improvement maintained.

Issue

New CI run shows failures unrelated to PR:

• maven-sonarcloud-ci: 6 test failures in DataProductResourceTest
• Test Report: Cascading failure

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Maven SonarCloud CI Failures (UNRELATED)

Job 62986027649

Test Class: DataProductResourceTest

Failures (6 total):

1. testDataProductBulkOutputPorts:850

   • expected: <success> but was: <failure>

2. testDataProductDomainMigrationWithInputOutputPorts:1732

   • Output port should be in target domain after migration
   • expected: <a29f9048-9b11-4b75-92a0-ed1b2ed2635a> but was: <88a98c2d-46bd-43d3-b404-3b9977ed31ce>

3. testGetOutputPortsReturnsFullEntities:1012

   • expected: <1> but was: <0>

4. testGetPortsByNameEndpoints:1108

   • expected: <1> but was: <0>

5. testGetPortsViewEndpoint:1066

   • expected: <1> but was: <0>

6. testDataProductBulkPortsViaApi:904

   • HttpResponse status code: 400, reason: Error reading response

Overall Results:

• Tests run: 7919
• Failures: 5
• Errors: 1
• Skipped: 701

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Root Cause

Relationship to PR: Completely unrelated

Evidence:

PR modifies workflow/recognizer feedback code only:

• WorkflowEventConsumer.java
• 4 workflow task implementations (ApplyRecognizerFeedback, RejectRecognizerFeedback, CheckFeedbackSubmitterIsReviewer, CreateRecognizerFeedbackApprovalTask)
• Integration test files (TagRecognizerFeedbackIT, TestSuiteBootstrap)
• JSON schemas for workflow tasks
• TypeScript generated types

Failing tests are in DataProductResourceTest, which tests:

• Data product bulk operations
• Domain migration with input/output ports
• Port retrieval endpoints

No code overlap between PR changes and failing test area.

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Test Report Failure (CASCADING)

Job 63008818112

Status: Cascading from maven-sonarcloud-ci failures

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Previous Analysis Context (Still Applicable)

Integration Test Results (EXCEPTIONAL IMPROVEMENT)

OpenSearch (postgres-opensearch) - Job 62986031220

• Total tests: 10,622
• Errors: 3 (down from 29)
• Success Rate: 99.97%

Elasticsearch (mysql-elasticsearch) - Job 62986021178

• Total tests: 10,622
• Errors: 1 (down from 269!)
• Success Rate: 99.99%

Improvement: ~99% reduction (298 → 4) 🎉

PR's changes successfully resolved search engine API issues:

• OpenSearch ShardFailure.primary API errors: 29 → 0 (100% fixed)
• Elasticsearch media-type header errors: 269 → 0 (100% fixed)

Python Failures (UNRELATED)

Both Python 3.10 & 3.11:

• ModuleNotFoundError: No module named 'cachetools'
• Environment mismatch issue, unrelated to PR's Java changes

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Failure Type Classification

1. maven-sonarcloud-ci (6 failures): test (DataProduct functionality, unrelated to PR)
2. Test Report: test (cascading)
3. Previous Python failures: dependency + infrastructure (unrelated)
4. Previous integration errors (4): test (minor timing, related to PR)

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Conclusion

New failures in this run:

• 6 DataProductResourceTest failures are pre-existing or flaky issues unrelated to PR's workflow changes
• No code overlap between PR (workflow/recognizer feedback) and failing tests (data product ports)

Previous exceptional success maintained:

• Integration tests: 99% improvement (298 → 4 errors)
• All search engine API compatibility issues resolved
• PR's core functionality working correctly

The new failures do not impact or relate to the PR's workflow improvements.

Code Review ✅ Approved 0 resolved / 1 findings

Clean refactor that pre-fetches RecognizerFeedback once at workflow trigger time, eliminating redundant DB queries and reducing race conditions. Test improvements with retryability and cleanup are appropriate for addressing flakiness.

💡 Edge Case: Stale feedback snapshot may overwrite concurrent DB changes

📄 openmetadata-service/src/main/java/org/openmetadata/service/governance/workflows/elements/nodes/automatedTask/impl/ApplyRecognizerFeedbackImpl.java:34

The RecognizerFeedback entity is now fetched once at workflow trigger time in WorkflowEventConsumer.handleTagRecognizerFeedback() and serialized as a JSON variable. When applyFeedback() or rejectFeedback() later executes, it operates on this pre-fetched snapshot and calls update(feedback) to persist the result.

If the feedback entity were modified in the database between trigger time and task execution time (e.g., by an admin or another process), the stale snapshot would overwrite those changes. The status == PENDING check at the start of applyFeedback/rejectFeedback checks the deserialized object (which will always be PENDING since it was captured at trigger time), not the current DB state.

In practice, this is unlikely for this specific entity type since feedback items typically flow through a single workflow, and this trade-off eliminates the race conditions that caused flakiness. Just noting it for awareness. If this becomes a concern, consider re-fetching the entity's current status from DB before update(), or using optimistic locking (version field) on the entity.

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[sonarqubecloud]

Quality Gate passed for 'open-metadata-ui'

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarQube Cloud

[github-actions]

Failed to cherry-pick changes to the 1.11.9 branch.
Please cherry-pick the changes manually.
You can find more details here.