import { getPaperBySlug } from "@autoscholar/core";
import { handler, json } from "@/lib/server/api";
import { db } from "@/lib/server/db";

export const runtime = "nodejs";

/** Public projection only: never serializes run/worker internals. */
export const GET = handler(async (_req, { params }) => {
  const { slug } = (await params) as { slug: string };
  const p = await getPaperBySlug(db(), slug);
  const v = p.version;
  const withdrawn = (v.metadata as { artifactsWithdrawn?: boolean }).artifactsWithdrawn === true;
  return json(
    {
      ...p.summary,
      metadata: {
        contributions: (v.metadata as Record<string, unknown>).contributions,
        methods: (v.metadata as Record<string, unknown>).methods,
        mainResults: (v.metadata as Record<string, unknown>).mainResults,
        limitations: (v.metadata as Record<string, unknown>).limitations,
        dataAvailability: (v.metadata as Record<string, unknown>).dataAvailability,
        codeAvailability: (v.metadata as Record<string, unknown>).codeAvailability,
      },
      artifacts: withdrawn ? [] : v.artifactSet,
      pdf: withdrawn ? null : v.pdfPublicPath,
      qaSummary: v.qaSummary,
      provenance: v.provenance,
      versions: p.versions.map((x) => ({
        versionNo: x.versionNo,
        publishedAt: x.publishedAt,
        changelog: x.changelog,
        pdf: withdrawn ? null : x.pdfPublicPath,
      })),
      corrections: p.corrections,
      retraction: p.retraction
        ? { notice: p.retraction.notice, retractedAt: p.retraction.retractedAt }
        : null,
      related: p.related,
      disclosure: "AI-generated working paper; not formally peer reviewed. Research computed on MacLustr.",
    },
    { headers: { "cache-control": "public, max-age=120, stale-while-revalidate=600" } },
  );
});