⚡ Bolt: Derive project lists in-memory to prevent redundant API request#137
⚡ Bolt: Derive project lists in-memory to prevent redundant API request#137aicoder2009 wants to merge 1 commit into
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…PI request Removed redundant concurrent call to `/api/projects/[id]/lists` on the project details page (`src/app/projects/[id]/page.tsx`). Since `/api/lists` already fetches all lists globally, the subset of project lists is now derived entirely in-memory using `Array.filter()`. This prevents duplicate and overlapping backend database queries and reduces network traffic. Co-authored-by: aicoder2009 <127642633+aicoder2009@users.noreply.github.com>
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📝 WalkthroughWalkthroughThis PR optimizes project list fetching by eliminating a redundant API request. ChangesIn-Memory List Filtering
Estimated code review effort🎯 2 (Simple) | ⏱️ ~8 minutes Poem
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✅ Passed checks (4 passed)
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Pull request overview
Removes a redundant /api/projects/[id]/lists request from the project detail page by deriving the project-specific list subset client-side via filtering allListsResult.data by projectId. Functionally equivalent to the prior server endpoint (which itself filters user lists by projectId) and drops one network round-trip plus DB query per page load.
Changes:
- Drop the third
fetchand JSON parse inPromise.allfor/api/projects/[id]/lists. - Set
listsby filteringallListsResult.datawherelist.projectId === projectId. - Add a learning entry to
.jules/bolt.mddescribing the in-memory subset-derivation pattern.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
| src/app/projects/[id]/page.tsx | Replace duplicate API fetch with in-memory filter to derive project lists |
| .jules/bolt.md | Document the optimization pattern as a Jules learning entry |
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| // OPTIMIZATION: Execute independent network requests and JSON parsing concurrently | ||
| // using Promise.all. This prevents a 3-step waterfall, reducing Time to First Byte | ||
| // (TTFB) and overall load time significantly on this detail page. |
| **Learning:** In the share system, endpoints processing a share code typically suffer from waterfall latency by first loading target entity details (like a project) and then querying its associated elements (like project lists) using the entity's owner ID (`userId`). However, the `shareLink` object already contains the `userId` field (representing the owner's ID). | ||
| **Action:** Always leverage the existing owner's ID within `shareLink` to bypass sequential dependencies and fetch parent entities (like projects) concurrently with their child elements (like user lists) using `Promise.all`. | ||
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| ## 2024-05-30 - In-Memory Derivation of Subset Data |
💡 What: Removed a redundant
/api/projects/[id]/listsnetwork request insrc/app/projects/[id]/page.tsxby deriving the project-specific lists directly in-memory from the globally fetchedallListsResult.data.🎯 Why: The page previously fetched both the complete set of a user's lists and a specific subset of those lists simultaneously. This generated an unnecessary redundant backend API request and database query.
📊 Impact: Reduces network requests by 33% on the project detail page load, decreasing redundant backend computation and slightly lowering Time to First Byte (TTFB).
🔬 Measurement: Verify that loading the project details page triggers only two data fetching endpoints (
/api/projects/[id]and/api/lists), not three.PR created automatically by Jules for task 16313201661836235732 started by @aicoder2009
Summary by CodeRabbit
Refactor
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