Refactor Game Engine Pipeline and Targeting Logic#164
Conversation
This commit optimizes the core game tick update in `MainViewModel.kt` and
the stall targeting logic in `Registry.kt`. Key improvements include:
1. **Optimized Pipeline Order:** Reordered the `updateGame` loop to build
the `SpatialIndex<Enemy>` after movement, ensuring targeting and
collisions use the most up-to-date coordinates.
2. **Engine Data Pre-calculation:** Pre-calculating Bak Kut Teh boosts
and sorted targeting lists (`FIRST`, `STRONGEST`, `WEAKEST`) once per
tick to eliminate redundant calculations inside the stall loop.
3. **Targeting Efficiency:** Updated `StallBehavior.selectTarget` to use
`SpatialIndex.findNearby` for `CLOSEST` mode targeting, reducing
complexity from $O(E)$ to $O(1)$.
4. **State Update Consolidation:** Refactored `handleEnemyMovement` and
hit tracking to batch `GameState` and `HexTile` map copies, reducing
memory allocation overhead.
These changes result in a more efficient and maintainable game engine.
Record added to `fixes.md` as `REF-011`.
Co-authored-by: candour <4670475+candour@users.noreply.github.com>
|
👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with New to Jules? Learn more at jules.google/docs. For security, I will only act on instructions from the user who triggered this task. |
|
Warning Rate limit exceeded
You’ve run out of usage credits. Purchase more in the billing tab. ⌛ How to resolve this issue?After the wait time has elapsed, a review can be triggered using the We recommend that you space out your commits to avoid hitting the rate limit. 🚦 How do rate limits work?CodeRabbit enforces hourly rate limits for each developer per organization. Our paid plans have higher rate limits than the trial, open-source and free plans. In all cases, we re-allow further reviews after a brief timeout. Please see our FAQ for further information. 📝 WalkthroughWalkthroughThe game engine tick is refactored to pre-compute targeting infrastructure after enemy movement, consolidate health mutations, batch Bak Kut Teh adjacency updates, and optimize projectile hit accounting. The ChangesEngine Pipeline and Targeting Refactor
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~22 minutes Possibly related PRs
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches🧪 Generate unit tests (beta)
Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
Build Successful! 🚀Note: This link will be removed when the PR is closed. |
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
There was a problem hiding this comment.
Actionable comments posted: 1
ℹ️ Review info
⚙️ Run configuration
Configuration used: Organization UI
Review profile: CHILL
Plan: Pro Plus
Run ID: a18a6f95-806d-4579-b1f8-5f3e1682fafe
📒 Files selected for processing (3)
app/src/main/java/com/messark/hawker/MainViewModel.ktapp/src/main/java/com/messark/hawker/registry/Registry.ktfixes.md
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Build Successful! 🚀Note: This link will be removed when the PR is closed. |
1 participant
Refactored the game engine update pipeline and targeting logic in
MainViewModel.ktandRegistry.ktfor improved performance and code clarity. The update reorders the pipeline steps, pre-calculates expensive engine data (boosts, targeting lists), optimizesCLOSESTtarget selection viaSpatialIndex, and consolidates state updates to minimize memory overhead from redundantGameStatecopies. Unit tests confirm correct behavior and performance gains.PR created automatically by Jules for task 14640828118690784622 started by @candour
Summary by CodeRabbit