export const dynamic = 'force-dynamic'

import { NextRequest, NextResponse } from 'next/server'
import { createClient } from '@/lib/supabase/server'
import { anthropic } from '@/lib/claude/client'

export async function POST(request: NextRequest) {
  const supabase = await createClient()
  const { data: { user }, error: authError } = await supabase.auth.getUser()
  if (authError || !user) return NextResponse.json({ error: 'Unauthorized' }, { status: 401 })

  const body = await request.json() as { description?: string; incident_type?: string }
  if (!body.description || !body.incident_type) {
    return NextResponse.json({ error: 'description and incident_type required' }, { status: 422 })
  }

  const message = await anthropic.messages.create({
    model: 'claude-opus-4-8',
    thinking: { type: 'adaptive' },
    max_tokens: 1024,
    tools: [{
      name: 'assess_quality',
      description: 'Assess HSE incident report description quality',
      input_schema: {
        type: 'object' as const,
        properties: {
          score: { type: 'number', description: '1-10 quality score' },
          passes: { type: 'boolean', description: 'True when score is 6 or above' },
          feedback: { type: 'string', description: 'One-sentence quality summary' },
          suggestions: {
            type: 'array',
            items: { type: 'string' },
            description: 'Up to 3 concrete suggestions to improve the description',
          },
        },
        required: ['score', 'passes', 'feedback', 'suggestions'],
      },
    }],
    tool_choice: { type: 'tool', name: 'assess_quality' },
    messages: [{
      role: 'user',
      content: `You are an HSE reporting assistant for a Malaysian 3PL warehouse. Assess this incident report description.

Incident type: ${body.incident_type}
Description: ${body.description}

Score 1–10 based on: specificity (location, time, persons involved), completeness (what happened + immediate actions), and clarity. Score 6 or above passes. If score is below 6, give up to 3 actionable suggestions.`,
    }],
  })

  const toolBlock = message.content.find(b => b.type === 'tool_use')
  if (!toolBlock || toolBlock.type !== 'tool_use') {
    return NextResponse.json({ error: 'AI assessment failed' }, { status: 500 })
  }

  return NextResponse.json(toolBlock.input)
}