Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

test(integration): test_statefulset.py support v2 volume #2203

Merged
merged 2 commits into from
Dec 19, 2024

Conversation

chriscchien
Copy link
Contributor

@chriscchien chriscchien commented Dec 18, 2024

Which issue(s) this PR fixes:

longhorn/longhorn#9760

What this PR does / why we need it:

test_statefulset.py support v2 volume

Special notes for your reviewer:

N/A

Additional documentation or context

N/A

Summary by CodeRabbit

  • New Features

    • Introduced a new versioning scheme for volume tests.
    • Enhanced volume creation process to include data engine specification.
  • Bug Fixes

    • Improved test validations for StatefulSets and associated volumes, ensuring correct functionality for backups, scaling, and restoration processes.

@chriscchien chriscchien self-assigned this Dec 18, 2024
@chriscchien chriscchien requested a review from a team as a code owner December 18, 2024 09:26
Copy link

coderabbitai bot commented Dec 18, 2024

Caution

Review failed

The pull request is closed.

Walkthrough

The pull request modifies the test_statefulset.py file in the integration tests, introducing a new DATA_ENGINE import and updating the client.create_volume method signature to include a dataEngine parameter. The changes are focused on enhancing the test suite's capability to handle volume management with a new data engine specification. The tests continue to validate StatefulSet operations, including backup, scaling, and restoration processes, while adapting to new volume creation requirements.

Changes

File Change Summary
manager/integration/tests/test_statefulset.py - Added @pytest.mark.v2_volume_test decorator to test functions
- Updated test_statefulset_restore to include dataEngine parameter in client.create_volume()
common.py - Added DATA_ENGINE variable

Sequence Diagram

sequenceDiagram
    participant Test as Test Suite
    participant Client as Volume Client
    participant StatefulSet as StatefulSet Manager

    Test->>Client: create_volume(name, size, replicas, backup, dataEngine)
    Client-->>StatefulSet: Create Volume with Specified Engine
    StatefulSet-->>Test: Confirm Volume Creation
    Test->>Test: Validate Volume Properties
Loading

Possibly related PRs

Suggested reviewers

  • derekbit
  • shuo-wu

Poem

🐰 A Rabbit's Ode to Volume Tests 🐰
In StatefulSet's domain so bright,
Data engines now take their flight
With engines new and tests refined,
Our volumes dance, precisely aligned!
Hop, hop, hooray for code so neat! 🚀


📜 Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between d2db577 and 2b77f8c.

📒 Files selected for processing (1)
  • manager/integration/tests/test_statefulset.py (8 hunks)

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

❤️ Share
🪧 Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>, please review it.
    • Generate unit testing code for this file.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    • @coderabbitai generate unit testing code for this file.
    • @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
    • @coderabbitai read src/utils.ts and generate unit testing code.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
    • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai full review to do a full review from scratch and review all the files again.
  • @coderabbitai summary to regenerate the summary of the PR.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Other keywords and placeholders

  • Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
  • Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
  • Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • Please see the configuration documentation for more information.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

- test_statefulset.py

longhorn/longhorn-9760

Signed-off-by: Chris Chien <[email protected]>
@yangchiu yangchiu merged commit edabff8 into longhorn:master Dec 19, 2024
5 of 7 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants