feat: pgvector similar-incident retrieval + SimilarIncidentsPanel
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01FFDuBhMKvoWjrWT3ZnGmmr
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export const dynamic = 'force-dynamic'
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import { NextRequest, NextResponse } from 'next/server'
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import { createClient } from '@/lib/supabase/server'
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import { embedText } from '@/lib/claude/embed'
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export async function GET(
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_request: NextRequest,
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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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const supabase = await createClient()
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const { data: { user }, error: authError } = await supabase.auth.getUser()
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if (authError || !user) return NextResponse.json({ error: 'Unauthorized' }, { status: 401 })
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const { data: profile } = await supabase.from('users').select('role').eq('id', user.id).single()
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if (!profile || !['hse', 'admin'].includes(profile.role))
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return NextResponse.json({ error: 'Forbidden' }, { status: 403 })
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const { data: incident } = await supabase
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.from('incidents')
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.select('id, description, embedding')
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.eq('id', id)
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.single()
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if (!incident) return NextResponse.json({ error: 'Not found' }, { status: 404 })
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const inc = incident as { id: string; description: string; embedding: string | null }
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let embeddingVec: number[]
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if (inc.embedding) {
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embeddingVec = JSON.parse(inc.embedding) as number[]
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} else {
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embeddingVec = await embedText(inc.description)
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await supabase.from('incidents').update({
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embedding: `[${embeddingVec.join(',')}]` as unknown as string,
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}).eq('id', id)
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}
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const { data: similar } = await supabase.rpc('match_incidents', {
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query_embedding: `[${embeddingVec.join(',')}]`,
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exclude_id: id,
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match_count: 5,
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})
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return NextResponse.json(similar ?? [])
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}
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