export const dynamic = 'force-dynamic' import { NextRequest, NextResponse } from 'next/server' import { getSession } from '@/lib/auth/get-session' import { withUser, asAdmin } from '@/lib/db/with-user' import { writeAuditLog } from '@/lib/db/audit' import { incidents, auditLog } from '@/lib/db/schema' import { eq, and, gte, sql } from 'drizzle-orm' import { createDeepSeekClient } from '@/lib/claude/client' import { getApiKey } from '@/lib/settings' export async function POST( _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 }) // Rate limit const since = new Date(Date.now() - 60_000) const [rateRow] = await asAdmin(db => db.select({ cnt: sql`count(*)` }).from(auditLog) .where(and( eq(auditLog.changedBy, session.sub), eq(auditLog.action, 'ai_triage_suggest'), gte(auditLog.changedAt, since), )) ) if (Number(rateRow?.cnt ?? 0) > 0) return NextResponse.json({ error: 'Rate limited — please wait 60 seconds' }, { status: 429 }) const deepseekKey = await getApiKey('DEEPSEEK_API_KEY') const client = createDeepSeekClient(deepseekKey) const [incident] = await withUser(session.sub, async tx => tx.select({ incidentType: incidents.incidentType, description: incidents.description, injuryInvolved: incidents.injuryInvolved, assetInvolved: incidents.assetInvolved, medicalStatus: incidents.medicalStatus, }) .from(incidents).where(eq(incidents.id, id)).limit(1) ) if (!incident) return NextResponse.json({ error: 'Not found' }, { status: 404 }) let res: Awaited> try { res = await client.chat.completions.create({ model: 'deepseek-v4-pro', max_tokens: 1024, tools: [{ type: 'function', function: { name: 'suggest_triage', description: 'Suggest severity rating and NADOPOD 2004 DOSH classification for a warehouse incident', parameters: { type: 'object', properties: { severity: { type: 'number', description: '1=minor, 2=low, 3=moderate, 4=serious, 5=critical/fatality' }, is_fatality: { type: 'boolean' }, is_serious_bodily_injury: { type: 'boolean', description: 'Fracture, amputation, blindness, serious burn, or similar' }, is_dangerous_occurrence: { type: 'boolean', description: 'Structural collapse, explosion, fire, scaffold collapse, etc.' }, is_occupational_disease: { type: 'boolean', description: 'Disease arising from workplace exposure' }, rationale: { type: 'string', description: 'One-sentence rationale citing NADOPOD 2004 where applicable' }, }, required: [ 'severity', 'is_fatality', 'is_serious_bodily_injury', 'is_dangerous_occurrence', 'is_occupational_disease', 'rationale', ], }, }, }], tool_choice: { type: 'function', function: { name: 'suggest_triage' } }, messages: [{ role: 'user', content: `You are an HSE triage specialist for a Malaysian 3PL warehouse. Assess this incident under NADOPOD 2004. Incident type: ${incident.incidentType} Description: ${incident.description} Injury involved: ${incident.injuryInvolved ? 'yes' : 'no'} Medical status: ${incident.medicalStatus ?? 'N/A'} Asset/equipment involved: ${incident.assetInvolved ? 'yes' : 'no'} Suggest severity (1–5) and tick the appropriate NADOPOD 2004 flags. Give a one-sentence rationale.`, }], }) } catch { return NextResponse.json({ error: 'AI service unavailable' }, { status: 503 }) } const call = res.choices[0]?.message?.tool_calls?.[0] if (!call || call.type !== 'function') return NextResponse.json({ error: 'AI suggestion failed' }, { status: 500 }) let input: { severity?: unknown is_fatality?: unknown is_serious_bodily_injury?: unknown is_dangerous_occurrence?: unknown is_occupational_disease?: unknown rationale?: unknown } try { input = JSON.parse(call.function.arguments) } catch { return NextResponse.json({ error: 'AI returned unexpected structure' }, { status: 500 }) } if ( typeof input.severity !== 'number' || typeof input.is_fatality !== 'boolean' || typeof input.is_serious_bodily_injury !== 'boolean' || typeof input.is_dangerous_occurrence !== 'boolean' || typeof input.is_occupational_disease !== 'boolean' || typeof input.rationale !== 'string' ) { return NextResponse.json({ error: 'AI returned unexpected structure' }, { status: 500 }) } await withUser(session.sub, async tx => { await writeAuditLog(tx, 'incidents', id, 'ai_triage_suggest', { suggestion: input, model: 'deepseek-v4-pro' }) }) return NextResponse.json(input) }