⚡ Bolt: Optimize machine detail page data fetching

[google-labs-jules]

💡 What: Optimized data fetching in src/app/(app)/m/[initials]/page.tsx by:

1. Fetching only OPEN issues for the machine (instead of fetching all and filtering in memory).
2. Fetching the total count of issues via a separate optimized count(*) query.
3. Executing the machine query, total count query, and user fetch (if admin) in parallel using Promise.all.

🎯 Why: The previous implementation fetched every issue (including closed ones) for a machine, transferred them to the server, and then filtered them in JavaScript. For machines with long histories (hundreds/thousands of closed issues), this was inefficient and slower.

📊 Impact:

• Significantly reduces database payload size for machines with many closed issues.
• Reduces Time To First Byte (TTFB) by parallelizing independent queries.
• Prevents memory overhead of hydrating thousands of closed issue objects only to discard them.

🔬 Measurement:

• Verified correctness via unit tests (pnpm test) and lint checks.
• The logic for deriveMachineStatus remains correct as it operates on open issues.
• The UI "Total Issues" count is now powered by a direct SQL count query.

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PR created automatically by Jules for task 3155069824471990818 started by @timothyfroehlich

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Project	Deployment	Review	Updated (UTC)
pin-point	Ready	Preview, Comment	Jan 12, 2026 7:06pm

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