ims/app/api/incidents/[id]/ai/triage-suggest/route.ts

export const dynamic = 'force-dynamic'

import { NextRequest, NextResponse } from 'next/server'
import { createClient } from '@/lib/supabase/server'
import { createAnthropicClient } 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 supabase = await createClient()
  const { data: { user }, error: authError } = await supabase.auth.getUser()
  if (authError || !user) return NextResponse.json({ error: 'Unauthorized' }, { status: 401 })

  const { data: profile } = await supabase.from('users').select('role').eq('id', user.id).single()
  if (!profile || !['hse', 'admin'].includes(profile.role))
    return NextResponse.json({ error: 'Forbidden' }, { status: 403 })

  const since = new Date(Date.now() - 60_000).toISOString()
  const { count: recentCount } = await supabase
    .from('audit_log')
    .select('id', { count: 'exact', head: true })
    .eq('changed_by', user.id)
    .eq('action', 'ai_triage_suggest')
    .gte('changed_at', since)
  if ((recentCount ?? 0) > 0)
    return NextResponse.json({ error: 'Rate limited — please wait 60 seconds' }, { status: 429 })

  const anthropicKey = await getApiKey(supabase, 'ANTHROPIC_API_KEY')
  const anthropic = createAnthropicClient(anthropicKey)

  const { data: incident } = await supabase
    .from('incidents')
    .select('id, incident_type, description, injury_involved, asset_involved, medical_status')
    .eq('id', id)
    .single()
  if (!incident) return NextResponse.json({ error: 'Not found' }, { status: 404 })

  const inc = incident as {
    incident_type: string
    description: string
    injury_involved: boolean
    asset_involved: boolean
    medical_status: string | null
  }

  let message: Awaited<ReturnType<typeof anthropic.messages.create>>
  try {
    message = await anthropic.messages.create({
      model: 'claude-opus-4-8',
      thinking: { type: 'adaptive' },
      max_tokens: 1024,
      tools: [{
        name: 'suggest_triage',
        description: 'Suggest severity rating and NADOPOD 2004 DOSH classification for a warehouse incident',
        input_schema: {
          type: 'object' as const,
          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: 'tool', 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: ${inc.incident_type}
Description: ${inc.description}
Injury involved: ${inc.injury_involved ? 'yes' : 'no'}
Medical status: ${inc.medical_status ?? 'N/A'}
Asset/equipment involved: ${inc.asset_involved ? '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 toolBlock = message.content.find(b => b.type === 'tool_use')
  if (!toolBlock || toolBlock.type !== 'tool_use')
    return NextResponse.json({ error: 'AI suggestion failed' }, { status: 500 })

  const input = toolBlock.input as {
    severity?: unknown
    is_fatality?: unknown
    is_serious_bodily_injury?: unknown
    is_dangerous_occurrence?: unknown
    is_occupational_disease?: unknown
    rationale?: unknown
  }

  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 supabase.rpc('write_audit_log', {
    p_table_name: 'incidents',
    p_record_id: id,
    p_action: 'ai_triage_suggest',
    p_new_value: { suggestion: toolBlock.input, model: 'claude-opus-4-8' } as never,
  })

  return NextResponse.json(toolBlock.input)
}