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test(pkg/ddc/goosefs): add Ginkgo tests for backup_data.go#5472

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hxrshxz:test/goosefs-backup-data
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test(pkg/ddc/goosefs): add Ginkgo tests for backup_data.go#5472
hxrshxz wants to merge 3 commits intofluid-cloudnative:masterfrom
hxrshxz:test/goosefs-backup-data

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@hxrshxz hxrshxz commented Jan 22, 2026

Ⅰ. Describe what this PR does

Adds Ginkgo test coverage for GooseFS backup data functionality that previously had 0% coverage

Ⅱ. Does this pull request fix one issue?

part of #5407

Ⅲ. List the added test cases (unit test/integration test) if any, please explain if no tests are needed.

Tests for generateDataBackupValueFile covering invalid input objects, missing runtime, HA master pod failures, invalid backup paths, affinity injection failures, RunAs configurations, and default image handling.

Ⅳ. Describe how to verify it

go test ./pkg/ddc/goosefs/... -v -run "BackupData"

Ⅴ. Special notes for reviews

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[APPROVALNOTIFIER] This PR is NOT APPROVED

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Summary of Changes

Hello @hxrshxz, 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 introduces a comprehensive suite of Ginkgo tests for the GooseFS data backup functionality, specifically targeting the generateDataBackupValueFile function. The added tests cover a wide array of scenarios, from various error conditions like missing runtimes and invalid paths to successful configurations involving user impersonation, HA setups, and default image handling. This enhancement aims to improve the reliability and correctness of data backup operations within the GooseFS DDC by validating its core value file generation logic.

Highlights

  • New Test File Added: A new test file, pkg/ddc/goosefs/backup_data_test.go, has been added to introduce comprehensive Ginkgo tests for the GooseFS data backup functionality.
  • Increased Test Coverage: This pull request significantly increases the test coverage for the generateDataBackupValueFile function, which previously had 0% coverage, ensuring its robustness.
  • Error Handling Scenarios: Tests now cover various error scenarios, including invalid input objects, missing runtime configurations, failures in retrieving HA master pod names, invalid backup paths, and issues during affinity injection.
  • Configuration Validation: The new tests validate correct behavior under different configurations, such as when RunAs and InitUsers are specified in the runtime, when DataBackup defines its own RunAs (overriding runtime settings), and when dealing with HA runtime replicas.
  • Default Image Handling: Testing includes scenarios where the worker image is not explicitly configured, verifying that the system correctly falls back to using a default image.
  • Generated YAML Content Verification: The tests also include assertions to ensure that the generated backuper-values.yaml file contains the expected YAML structure and content.

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fluid-e2e-bot bot commented Jan 22, 2026

Hi @hxrshxz. Thanks for your PR.

I'm waiting for a fluid-cloudnative member to verify that this patch is reasonable to test. If it is, they should reply with /ok-to-test on its own line. Until that is done, I will not automatically test new commits in this PR, but the usual testing commands by org members will still work. Regular contributors should join the org to skip this step.

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Code Review

This pull request adds Ginkgo tests for the GooseFS data backup functionality, significantly improving test coverage. The tests cover various failure scenarios and basic success cases. My review focuses on improving the assertions in the success-case tests to make them more robust and ensure they correctly validate the behavior they are intended to test. Specifically, I've suggested parsing the generated YAML file and checking the values of key fields instead of just checking for the existence of substrings or successful file creation.

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codecov bot commented Jan 22, 2026

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 61.29%. Comparing base (a953517) to head (a40645b).

Additional details and impacted files
@@           Coverage Diff           @@
##           master    #5472   +/-   ##
=======================================
  Coverage   61.29%   61.29%           
=======================================
  Files         444      444           
  Lines       30540    30540           
=======================================
  Hits        18720    18720           
  Misses      10277    10277           
  Partials     1543     1543           

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hxrshxz commented Jan 25, 2026

/gemini review

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Code Review

This pull request introduces a comprehensive suite of Ginkgo tests for the backup_data.go file, significantly improving test coverage for the GooseFS data backup functionality. The tests are well-structured, covering a variety of success and failure scenarios, including input validation, error handling, and different runtime configurations. My feedback focuses on enhancing test maintainability by reducing code duplication and strengthening test assertions to ensure the correctness of the generated output. Overall, this is a solid contribution that boosts the reliability of the codebase.

@hxrshxz hxrshxz marked this pull request as draft February 1, 2026 19:46
Signed-off-by: Harsh <harshmastic@gmail.com>
Signed-off-by: Harsh <harshmastic@gmail.com>
@hxrshxz hxrshxz force-pushed the test/goosefs-backup-data branch from 25d97fa to 9773dce Compare February 6, 2026 19:39
@hxrshxz hxrshxz marked this pull request as ready for review February 6, 2026 19:43
Copilot AI review requested due to automatic review settings February 6, 2026 19:43
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Pull request overview

Adds Ginkgo/Gomega unit test coverage for GooseFS generateDataBackupValueFile (data-backup value YAML generation), aligning with the project’s ongoing migration to Ginkgo and goal of raising overall test coverage.

Changes:

  • Introduces a comprehensive Ginkgo test suite for pkg/ddc/goosefs/backup_data.go value-file generation.
  • Covers several failure paths (wrong object type, missing runtime, HA master pod resolution failure, invalid backup path, affinity injection failure).
  • Adds success-path coverage for RunAs precedence, HA replicas behavior, and worker-image defaulting behavior.

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Signed-off-by: Harsh <harshmastic@gmail.com>
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