import fs from "fs";
import { generateObject } from "ai";
import { createOpenAI } from "@ai-sdk/openai";
import { ReceiptExtractionSchema } from "../src/lib/schema/receipt.ts";

const envContent = fs.readFileSync(".env.local", "utf-8");
const apiKeyMatch = envContent.match(/OPENROUTER_API_KEY=([^\r\n]+)/);
const apiKey = apiKeyMatch ? apiKeyMatch[1].trim() : "";

const demoImgPath = "public/demo/01_aral_tankbeleg_muenchen.jpg";
const imgBase64 = fs.readFileSync(demoImgPath).toString("base64");
const dataUrl = `data:image/jpeg;base64,${imgBase64}`;

async function testJsonMode() {
  console.log("Testing generateObject with mode: 'json' on OpenRouter...");

  const openrouter = createOpenAI({
    apiKey,
    baseURL: "https://openrouter.ai/api/v1",
    headers: {
      "HTTP-Referer": "http://localhost:3000",
      "X-Title": "Receipt Scanner to Excel",
    },
  });

  const { object } = await generateObject({
    model: openrouter("openai/gpt-4o-mini"),
    schema: ReceiptExtractionSchema,
    mode: "json",
    messages: [
      {
        role: "system",
        content: `Du bist ein hochpräziser KI-Belegscanner. Extrahiere alle Belegdaten vollständig im vorgegebenen JSON-Format:
- merchant (name, address, taxId, confidence 0-1)
- date (isoDate YYYY-MM-DD, time, confidence 0-1)
- documentType (KASSENBON, RECHNUNG, TANKBELEG, BEWIRTUNGSBELEG, PARKTICKET, SONSTIGES)
- receiptNumber
- currency (EUR)
- totalAmount (value, confidence 0-1)
- netAmount
- taxBreakdown (array mit ratePercent, taxAmount, netAmount)
- lineItems (array mit description, quantity, price, taxRate)
- suggestedCategory (Bewirtung, Reisekosten & Hotel, Tanken & KFZ, Bürobedarf & IT, Verpflegungsmehraufwand, Material & Einkauf, Sonstiges)
- validation (isMathValid, isDuplicateSuspected, needsUserReview, reviewField, reviewReason)`,
      },
      {
        role: "user",
        content: [
          { type: "text", text: "Extrahiere diesen Beleg vollständig als JSON:" },
          { type: "image", image: dataUrl },
        ],
      },
    ],
  });

  console.log("✓ SUCCESS! Extracted Object:\n", JSON.stringify(object, null, 2));
}

testJsonMode().catch(console.error);
