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 { 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 })

  const supabase = await createClient()

  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', session.sub)
    .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 deepseekKey = await getApiKey('DEEPSEEK_API_KEY')
  const client = createDeepSeekClient(deepseekKey)

  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 res: Awaited<ReturnType<typeof client.chat.completions.create>>
  try {
    res = await client.chat.completions.create({
      model: 'deepseek-chat',
      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: ${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 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 supabase.rpc('write_audit_log', {
    p_table_name: 'incidents',
    p_record_id: id,
    p_action: 'ai_triage_suggest',
    p_new_value: { suggestion: input, model: 'deepseek-chat' } as never,
  })

  return NextResponse.json(input)
}