adminandClaude Sonnet 4.6
d18d29168a
Custom auth stack: bcryptjs password hashing (cost 10, GoTrue-compatible), jose JWT session cookies (edge-safe, 8hr TTL), new API routes for login/logout/reset/change-password, middleware rewritten to JWT-only verification with no DB access. All 38 protected pages and API routes migrated from supabase.auth.getUser() to getSession(). Supabase .from() queries retained for Phase 4. lib/db/index.ts refactored to lazy Proxy singleton to avoid module-level throw during Next.js build. tsc: clean, build: clean, tests: 4/4 passed Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
59 lines
2.1 KiB
TypeScript
59 lines
2.1 KiB
TypeScript
export const dynamic = 'force-dynamic'
|
|
|
|
import { NextRequest, NextResponse } from 'next/server'
|
|
import { createClient } from '@/lib/supabase/server'
|
|
import { getSession } from '@/lib/auth/get-session'
|
|
import { embedText } from '@/lib/claude/embed'
|
|
import { getApiKey } from '@/lib/settings'
|
|
|
|
export async function GET(
|
|
_request: NextRequest,
|
|
{ params }: { params: Promise<{ id: string }> }
|
|
) {
|
|
const { id } = await params
|
|
const session = await getSession()
|
|
if (!session) return NextResponse.json({ error: 'Unauthorized' }, { status: 401 })
|
|
if (!['hse', 'admin'].includes(session.role))
|
|
return NextResponse.json({ error: 'Forbidden' }, { status: 403 })
|
|
|
|
const supabase = await createClient()
|
|
|
|
const googleAiKey = await getApiKey(supabase, 'GOOGLE_AI_API_KEY')
|
|
|
|
const { data: incident } = await supabase
|
|
.from('incidents')
|
|
.select('id, description, embedding, status')
|
|
.eq('id', id)
|
|
.single()
|
|
if (!incident) return NextResponse.json({ error: 'Not found' }, { status: 404 })
|
|
|
|
const inc = incident as { id: string; description: string; embedding: string | null; status: string }
|
|
|
|
let embeddingVec: number[]
|
|
try {
|
|
if (inc.embedding) {
|
|
embeddingVec = JSON.parse(inc.embedding) as number[]
|
|
} else {
|
|
embeddingVec = await embedText(inc.description, googleAiKey)
|
|
// Closed incidents are locked at the DB level — the trigger would reject
|
|
// this backfill. The vector still serves the similarity query below.
|
|
if (inc.status !== 'closed') {
|
|
const { error: persistError } = await supabase.from('incidents').update({
|
|
embedding: `[${embeddingVec.join(',')}]` as unknown as string,
|
|
}).eq('id', id)
|
|
if (persistError) console.error('embedding backfill error:', persistError)
|
|
}
|
|
}
|
|
} catch {
|
|
return NextResponse.json({ error: 'Embedding service unavailable' }, { status: 503 })
|
|
}
|
|
|
|
const { data: similar } = await supabase.rpc('match_incidents', {
|
|
query_embedding: `[${embeddingVec.join(',')}]`,
|
|
exclude_id: id,
|
|
match_count: 5,
|
|
})
|
|
|
|
return NextResponse.json(similar ?? [])
|
|
}
|