feat: AI triage suggestion — severity + DOSH flags pre-fill
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01FFDuBhMKvoWjrWT3ZnGmmr
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@@ -0,0 +1,105 @@
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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 { anthropic } from '@/lib/claude/client'
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export async function POST(
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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, incident_type, description, injury_involved, asset_involved, medical_status')
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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 {
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incident_type: string
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description: string
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injury_involved: boolean
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asset_involved: boolean
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medical_status: string | null
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}
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const message = await anthropic.messages.create({
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model: 'claude-opus-4-8',
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thinking: { type: 'adaptive' },
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max_tokens: 1024,
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tools: [{
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name: 'suggest_triage',
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description: 'Suggest severity rating and NADOPOD 2004 DOSH classification for a warehouse incident',
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input_schema: {
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type: 'object' as const,
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properties: {
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severity: { type: 'number', description: '1=minor, 2=low, 3=moderate, 4=serious, 5=critical/fatality' },
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is_fatality: { type: 'boolean' },
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is_serious_bodily_injury: { type: 'boolean', description: 'Fracture, amputation, blindness, serious burn, or similar' },
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is_dangerous_occurrence: { type: 'boolean', description: 'Structural collapse, explosion, fire, scaffold collapse, etc.' },
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is_occupational_disease: { type: 'boolean', description: 'Disease arising from workplace exposure' },
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rationale: { type: 'string', description: 'One-sentence rationale citing NADOPOD 2004 where applicable' },
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},
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required: [
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'severity', 'is_fatality', 'is_serious_bodily_injury',
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'is_dangerous_occurrence', 'is_occupational_disease', 'rationale',
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],
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},
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}],
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tool_choice: { type: 'tool', name: 'suggest_triage' },
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messages: [{
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role: 'user',
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content: `You are an HSE triage specialist for a Malaysian 3PL warehouse. Assess this incident under NADOPOD 2004.
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Incident type: ${inc.incident_type}
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Description: ${inc.description}
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Injury involved: ${inc.injury_involved ? 'yes' : 'no'}
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Medical status: ${inc.medical_status ?? 'N/A'}
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Asset/equipment involved: ${inc.asset_involved ? 'yes' : 'no'}
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Suggest severity (1–5) and tick the appropriate NADOPOD 2004 flags. Give a one-sentence rationale.`,
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}],
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})
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const toolBlock = message.content.find(b => b.type === 'tool_use')
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if (!toolBlock || toolBlock.type !== 'tool_use')
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return NextResponse.json({ error: 'AI suggestion failed' }, { status: 500 })
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const input = toolBlock.input as {
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severity?: unknown
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is_fatality?: unknown
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is_serious_bodily_injury?: unknown
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is_dangerous_occurrence?: unknown
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is_occupational_disease?: unknown
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rationale?: unknown
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}
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if (
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typeof input.severity !== 'number' ||
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typeof input.is_fatality !== 'boolean' ||
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typeof input.is_serious_bodily_injury !== 'boolean' ||
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typeof input.is_dangerous_occurrence !== 'boolean' ||
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typeof input.is_occupational_disease !== 'boolean' ||
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typeof input.rationale !== 'string'
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) {
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return NextResponse.json({ error: 'AI returned unexpected structure' }, { status: 500 })
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}
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await supabase.rpc('write_audit_log', {
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p_table_name: 'incidents',
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p_record_id: id,
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p_action: 'ai_triage_suggest',
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p_new_value: { suggestion: toolBlock.input, model: 'claude-opus-4-8' } as never,
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})
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return NextResponse.json(toolBlock.input)
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}
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@@ -27,6 +27,8 @@ export function TriageForm({ incidentId, currentSeverity }: Props) {
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const [triageNotes, setTriageNotes] = useState('')
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const [saving, setSaving] = useState(false)
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const [error, setError] = useState<string | null>(null)
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const [aiLoading, setAiLoading] = useState(false)
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const [aiRationale, setAiRationale] = useState<string | null>(null)
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const dosh = computeDoshObligation({
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is_fatality: isFatality,
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@@ -36,6 +38,33 @@ export function TriageForm({ incidentId, currentSeverity }: Props) {
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lost_days: null,
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})
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async function getAiSuggestion() {
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setAiLoading(true)
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setAiRationale(null)
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try {
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const res = await fetch(`/api/incidents/${incidentId}/ai/triage-suggest`, { method: 'POST' })
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if (!res.ok) return
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const data = await res.json() as {
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severity: number
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is_fatality: boolean
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is_serious_bodily_injury: boolean
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is_dangerous_occurrence: boolean
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is_occupational_disease: boolean
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rationale: string
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}
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setSeverity(data.severity)
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setIsFatality(data.is_fatality)
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setIsSBI(data.is_serious_bodily_injury)
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setIsDO(data.is_dangerous_occurrence)
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setIsOD(data.is_occupational_disease)
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setAiRationale(data.rationale)
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} catch {
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// Non-blocking — user can still triage manually
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} finally {
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setAiLoading(false)
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}
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}
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async function handleSubmit(e: React.FormEvent) {
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e.preventDefault()
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setSaving(true)
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@@ -120,15 +149,33 @@ export function TriageForm({ incidentId, currentSeverity }: Props) {
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/>
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</div>
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{aiRationale && (
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<div className="rounded-lg bg-purple-50 border border-purple-200 p-3">
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<p className="text-xs font-semibold text-purple-700 mb-1">AI Suggestion Rationale</p>
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<p className="text-xs text-purple-600">{aiRationale}</p>
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<p className="text-xs text-purple-400 mt-1">Fields pre-filled — review before submitting.</p>
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</div>
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)}
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{error && <p className="text-sm text-red-600">{error}</p>}
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<button
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type="submit"
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disabled={saving}
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className="w-full bg-blue-600 text-white rounded-lg py-2 text-sm font-semibold disabled:opacity-50"
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>
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{saving ? 'Saving…' : 'Complete Triage'}
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</button>
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<div className="flex gap-3">
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<button
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type="button"
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onClick={getAiSuggestion}
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disabled={aiLoading || saving}
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className="flex-1 bg-purple-50 text-purple-700 border border-purple-300 rounded-lg py-2 text-sm font-semibold disabled:opacity-50 hover:bg-purple-100"
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>
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{aiLoading ? 'Getting suggestion…' : 'Get AI Suggestion'}
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</button>
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<button
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type="submit"
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disabled={saving}
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className="flex-1 bg-blue-600 text-white rounded-lg py-2 text-sm font-semibold disabled:opacity-50"
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>
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{saving ? 'Saving…' : 'Complete Triage'}
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</button>
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</div>
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</form>
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)
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}
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@@ -0,0 +1,60 @@
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import { describe, it, expect, vi } from 'vitest'
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const mockIncident = {
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id: 'inc-1',
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incident_type: 'injury',
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description: 'Worker slipped on wet floor in cold store, fractured wrist.',
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injury_involved: true,
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asset_involved: false,
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medical_status: 'medical_treatment',
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}
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vi.mock('@/lib/supabase/server', () => ({
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createClient: vi.fn().mockResolvedValue({
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auth: {
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getUser: vi.fn().mockResolvedValue({ data: { user: { id: 'user-1' } }, error: null }),
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},
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from: vi.fn().mockReturnValue({
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select: vi.fn().mockReturnThis(),
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eq: vi.fn().mockReturnThis(),
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single: vi.fn()
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.mockResolvedValueOnce({ data: { role: 'hse' } }) // profile
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.mockResolvedValueOnce({ data: mockIncident }), // incident
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}),
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rpc: vi.fn().mockResolvedValue({ error: null }),
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}),
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}))
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vi.mock('@/lib/claude/client', () => ({
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anthropic: {
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messages: {
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create: vi.fn().mockResolvedValue({
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content: [{
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type: 'tool_use',
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name: 'suggest_triage',
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input: {
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severity: 3,
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is_fatality: false,
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is_serious_bodily_injury: true,
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is_dangerous_occurrence: false,
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is_occupational_disease: false,
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rationale: 'Fracture constitutes serious bodily injury under NADOPOD 2004.',
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},
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}],
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}),
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},
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},
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}))
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describe('POST /api/incidents/[id]/ai/triage-suggest', () => {
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it('returns triage suggestion with severity and DOSH flags', async () => {
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const { POST } = await import('@/app/api/incidents/[id]/ai/triage-suggest/route')
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const req = new Request('http://localhost/api/incidents/inc-1/ai/triage-suggest', { method: 'POST' })
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const res = await POST(req as never, { params: Promise.resolve({ id: 'inc-1' }) })
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expect(res.status).toBe(200)
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const body = await res.json()
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expect(body.severity).toBe(3)
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expect(body.is_serious_bodily_injury).toBe(true)
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expect(body.rationale).toBeTruthy()
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})
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})
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