GSoC 2026 Week 5: Moving Fast on Controller Layers and Navigating Design Trade-offs

This week was all about moving from the foundational storage and service layers into controllers and frontend services, while navigating complex design trade-offs with my mentors. With my university exams behind me, I was able to maintain a high development pace and open three different PRs!

My Goals for this Week

My primary goals were to get PR 1.4 (Controller layer) merged, address the remaining feedback on the PR 1.9 Beam job, open PR 1.5 (Suggestion Handler), and open PR 1.6 (Frontend Services).

What I Accomplished

• PR 1.4 Merged: PR 1.4, which adds the new controller endpoints (like ContributionOpportunitiesHandlerV2 and ReviewableOpportunitiesHandlerV2) gated behind the new feature flag, was successfully approved and merged!
• Opened PR 1.5 and PR 1.6: I opened PR 1.5 to update the SuggestionHandler logic to resolve suggestion target IDs using the new generic translation opportunities. I also opened PR 1.6 to integrate these backend changes with the frontend services (ContributionOpportunitiesService and the API services).
• Refactoring PR 1.9 Content Count (Sync with Hasitha): During our GSoC sync, Hasitha and I discussed two implementation options for the get_content_count() logic in the Beam job. We chose Option 1 (updating counts to include metadata fields, gated under the feature flag). I refactored the Beam job, wrote integration tests covering both feature flag states, added automated verification to the audit job, and updated the Release Testing Doc.
• Ready for Backup Server Testing: With all comments on PR 1.9 addressed and local verification complete, the Beam job is now awaiting a final pass from Hasitha to begin backup server testing.

What I Learned

This week taught me a lot about designing backward-compatible APIs during major database migrations.

The frontend suggestion review modal expects opportunity details (like topic_name, story_title, and chapter_title) to render its subheadings. Since the new TranslationOpportunity model is generic and doesn't store story or chapter fields directly, we had to implement a transitional backend bridge: query the mappings on-the-fly and map them into a temporary ExplorationOpportunitySummary dictionary.

Learning how to roll out new models incrementally while keeping the legacy frontend fully functional is a crucial real-world software engineering skill.

What I Struggled With

My main challenge this week was achieving 100% line and branch test coverage for the integration tests.

Testing the new controller endpoints under both enabled and disabled feature flag states required writing comprehensive integration tests in core/controllers/suggestion_test.py. Setting up the mocks (swapping get_all_topic_summaries, get_node_with_corresponding_exp_id, etc.) to cover edge cases like empty topic summaries or invalid/missing targets took several iterations to get exactly right. However, getting the green checkmark on the CI checks made the effort completely worth it.

Next Steps

For next week, my main focus will be executing the backup server testing for the PR 1.9 Beam job so we can get it merged. I’ll also address the review comments on PR 1.5 and 1.6 to wrap up Milestone 1!