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Contributing to the Opendatahub Operator

Thanks for your interest in the opendatahub-operator project! You can contribute to this project in various ways: filing bug reports, proposing features, submitting pull requests (PRs), and improving documentation.

Before you begin, please take a look at our contribution guidelines below to ensure that your contribuutions are aligned with the project's goals.

Reporting Issues

Issues are tracked using Jira. If you encounter a bug or have suggestions for enhancements, please follow the steps below:

  1. Check for Existing Issues: Before creating a new issue, search the Jira project to see if a similar issue already exists.
  2. Create a Jira Ticket: If the issue doesn’t exist, create a new ticket in Jira.
    • For Feature Requests: Set the issue type to be Initative
    • For Bugs: Set the issue type to Bug
    • For all other code changes: Use the issue type Story

Pull Requests

Workflow

  1. Fork the Repository: Create your own fork of the repository to work on your changes.
  2. Create a Branch: Create your own branch to include changes for the feature or a bug fix off of incubation branch.
  3. Work on Your Changes: Commit often, and ensure your code adheres to these Code Style Guidelines and passes all the quality gates for the operator.
  4. Testing: Make sure your code passes all the tests, including any new tests you've added. And that your changes do not decrease the test coverage as shown on report. Every new feature should come with unit tests that cover that new part of the code.

Open a Pull Request:

  1. Link to Jira Issue: Include the Jira issue link in your PR description.
  2. Description: Provide a detailed description of the changes and what they fix or implement.
  3. Add Testing Steps: Provide information on how the PR has been tested, and list out testing steps if any for reviewers.
  4. Review Request: Tag the relevant maintainers(@opendatahub-io/odh-operator-maintainers ) or team members(@opendatahub-io/odh-platform-members) for a review.
  5. Resolve Feedback: Be open to feedback and iterate on your changes.

Quality Gates

To ensure the contributed code adheres to the project goals, we have set up some automated quality gates:

  1. linters: Ensure the check for linters is successful. If it fails, run make lint to resolve errors
  2. api-docs: Ensure the api-docs are updated when making changes to operator apis. If it fails, run make generate manifests api-docs to resolve errors
  3. unit-tests: Ensure unit tests pass. Run make unit-tests
  4. e2e-tests: Ensure CI job for e2e tests pass. Refer run e2e locally to debug. CI test logs can also be found under Artifacts directory under Job details.

Code Style Guidelines

  1. Follow the Go community’s best practices, which can be found in the official Effective Go guide.
  2. Follow the best practices defined by the Operator SDK.
  3. Use go fmt to automatically format your code.
  4. Ensure your code passes make lint (we have a .golangci.yml file configured in the repo).
  5. Ensure you write clear and concise comments, especially for exported functions.
  6. Always check and handle errors appropriately. Avoid ignoring errors by using _.
  7. Make sure to run go mod tidy before submitting a PR to ensure the go.mod and go.sum files are up-to-date.

Commit Messages

We follow the conventional commits format for writing commit messages. A good commit message should include:

  1. Type: fix, feat, docs, chore, etc. Note: All commits except chore require an associated jira issue. Please add link to your jira issue.
  2. Scope: A short description of the area affected.
  3. Summary: A brief explanation of what the commit does.

Testing PR Changes Locally

  1. When a PR is opened, we have set up an OpenShift CI job that creates an operator image with the changes - quay.io/opendatahub/opendatahub-operator:pr-<pr-number>.
  2. Set up your environment to override Makefile defaults as described here
  3. Use developer guide to deploy operator using OLM on a cluster.
  4. Follow the steps given here to run e2e tests in your environment.

Sync Changes in Downstream

After a PR is merged into the upstream opendatahub-io/opendatahub-operator repository, the changes need to be synced with the downstream repository:

  1. Cherry-Pick: Use git cherry-pick to apply the changes to the downstream repo (rhods-operator).
  2. Version Labels: Ensure the downstream PR is labeled with the target release version (e.g., rhoai-2.14).
  3. Operator Bundle or Dockerfile Updates: If changes affect the operator bundle or Dockerfile, sync the changes in the rhods-cpaas-midstream repo in addition to downstream PR.

Follow the same PR Guide for creating and reviewing downstream PRs.

Communication

For general questions, feel free to open a discussion in our repository or communicate via:

  • Slack: All issues related to ODH platform can be discussed in #forum-openshift-ai-operator channel.
  • Jira Comments: Feel free to discuss issues directly on Jira tickets.