Build OverSnitch dashboard
Full implementation on top of the Next.js scaffold: - Leaderboard with per-user request count, storage, avg GB/req, and optional Tautulli watch stats (plays, watch hours), each with dense per-metric rank (#N/total) - SWR cache on /api/stats (5-min stale, force-refresh via button); client-side localStorage seed so the UI is instant on return visits - Alerting system: content-centric alerts (unfulfilled downloads, partial TV downloads, stale pending requests) and user-behavior alerts (ghost requester, low watch rate, declined streak) - Partial TV detection: flags ended series with <90% of episodes on disk - Alert persistence in data/alerts.json with open/closed state, auto-resolve when condition clears, manual close with per-category cooldown, and per-alert notes - Alert detail page rendered as a server component for instant load - Dark UI with Tailwind v4, severity-colored left borders, summary cards with icons, sortable leaderboard table Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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26
src/app/api/alerts/[id]/comments/route.ts
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26
src/app/api/alerts/[id]/comments/route.ts
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import { addComment } from "@/lib/db";
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export async function POST(
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req: Request,
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{ params }: { params: Promise<{ id: string }> }
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) {
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const { id } = await params;
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let body: { body: string };
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try {
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body = await req.json();
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} catch {
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return Response.json({ error: "Invalid JSON" }, { status: 400 });
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}
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if (!body.body?.trim()) {
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return Response.json({ error: "Comment body is required" }, { status: 400 });
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}
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const comment = addComment(Number(id), body.body.trim());
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if (!comment) {
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return Response.json({ error: "Alert not found" }, { status: 404 });
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}
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return Response.json(comment, { status: 201 });
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}
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