lead-scraper/app/api/search/supplement/route.ts

import { NextRequest, NextResponse } from "next/server";
import { getApiKey } from "@/lib/utils/apiKey";
import { generateSupplementQuery } from "@/lib/services/openai";

export async function POST(req: NextRequest) {
  try {
    const body = await req.json() as {
      query: string;
      region: string;
      targetCount: number;
      foundCount: number;
    };
    const { query, region, targetCount, foundCount } = body;

    const base = `http://localhost:${process.env.PORT || 3000}`;
    const deficit = targetCount - foundCount;

    // 1. Try to generate an optimized query via GPT-4.1
    let optimizedQuery = region ? `${query} ${region}` : query;
    let usedAI = false;

    const openaiKey = await getApiKey("openai");
    if (openaiKey) {
      const aiQuery = await generateSupplementQuery(query, region, foundCount, targetCount, openaiKey);
      if (aiQuery) {
        optimizedQuery = aiQuery;
        usedAI = true;
      }
    }

    // 2. Start SERP job with the (possibly optimized) query
    const maxPages = Math.min(Math.max(1, Math.ceil(deficit / 10)), 3);

    const serpRes = await fetch(`${base}/api/jobs/serp-enrich`, {
      method: "POST",
      headers: { "Content-Type": "application/json" },
      body: JSON.stringify({
        query: optimizedQuery,
        maxPages,
        countryCode: "de",
        languageCode: "de",
        filterSocial: true,
        categories: ["ceo"],
        enrichEmails: true,
      }),
    });

    if (!serpRes.ok) {
      const err = await serpRes.json() as { error?: string };
      return NextResponse.json({ error: err.error || "SERP job konnte nicht gestartet werden" }, { status: 500 });
    }

    const { jobId } = await serpRes.json() as { jobId: string };
    return NextResponse.json({ jobId, optimizedQuery, usedAI });
  } catch (err) {
    console.error("POST /api/search/supplement error:", err);
    return NextResponse.json({ error: "Supplement-Suche fehlgeschlagen" }, { status: 500 });
  }
}