#!/usr/bin/env bun
/**
 * Build the `scrum_findings_v1` corpus — Option B from 2026-04-26
 * corpus pass. Self-feeding: each accepted scrum review's
 * `suggestions_preview` becomes a document, indexed under doc_id
 * `review:<file_slug>:<ts_compact>` so multi-iteration coexists.
 *
 * Re-run this whenever scrum_reviews.jsonl grows; the index_name stays
 * stable and the gateway will re-register metadata.
 */

import { readFileSync } from "node:fs";
import { resolve } from "node:path";

const ROOT = resolve(import.meta.dir, "..");
const GATEWAY = process.env.LH_GATEWAY ?? "http://localhost:3100";
const INDEX_NAME = process.env.LH_CORPUS_NAME ?? "scrum_findings_v1";
const SOURCE_LABEL = "scrum_findings";
const CHUNK_SIZE = Number(process.env.LH_CHUNK_SIZE ?? 1500);
const OVERLAP = Number(process.env.LH_OVERLAP ?? 150);
const MIN_PREVIEW_BYTES = 200;  // skip stub rows

interface Doc { id: string; text: string }

function slugFile(path: string): string {
  return path.replace(/^crates\//, "").replace(/[^a-z0-9]+/gi, "_").slice(0, 40);
}

function compactTs(iso: string): string {
  return iso.replace(/[-:T]/g, "").slice(0, 14);  // 20260424T110656
}

function buildDocs(): Doc[] {
  const lines = readFileSync(resolve(ROOT, "data/_kb/scrum_reviews.jsonl"), "utf8").split("\n").filter(Boolean);
  const docs: Doc[] = [];
  const idCounts = new Map<string, number>();

  for (const line of lines) {
    let row: any;
    try { row = JSON.parse(line); } catch { continue; }

    const file = row.file ?? "";
    const preview = row.suggestions_preview ?? "";
    if (!file || preview.length < MIN_PREVIEW_BYTES) continue;

    const ts = compactTs(row.reviewed_at ?? "");
    const baseId = `review:${slugFile(file)}:${ts || "no_ts"}`;
    // Multiple reviews with same ts (rare but possible) get a counter.
    const count = (idCounts.get(baseId) ?? 0) + 1;
    idCounts.set(baseId, count);
    const id = count === 1 ? baseId : `${baseId}_${count}`;

    const header = `File: ${file}\nReviewed: ${row.reviewed_at ?? "?"}\nModel: ${row.accepted_model ?? "?"}\nVerdict: ${row.verdict ?? "?"}\nFindings: ${row.findings_count ?? "?"}\n\n`;
    docs.push({ id, text: header + preview });
  }
  return docs;
}

async function main() {
  const dryRun = process.argv.includes("--dry-run") || process.argv.includes("--print");
  const printOnly = process.argv.includes("--print");

  const docs = buildDocs();
  const totalBytes = docs.reduce((s, d) => s + d.text.length, 0);
  console.log(`[corpus-B] ${docs.length} reviews · ${totalBytes} bytes · target chunk_size=${CHUNK_SIZE}`);
  console.log(`[corpus-B] file coverage: ${new Set(docs.map(d => d.id.split(":")[1])).size} unique files`);

  if (printOnly) {
    docs.slice(0, 3).forEach(d => console.log(`  ${d.id} (${d.text.length}b) ${d.text.slice(0, 80).replace(/\n/g, " ")}…`));
    return;
  }
  if (dryRun) return;

  const r = await fetch(`${GATEWAY}/vectors/index`, {
    method: "POST",
    headers: { "content-type": "application/json" },
    body: JSON.stringify({
      index_name: INDEX_NAME,
      source: SOURCE_LABEL,
      documents: docs,
      chunk_size: CHUNK_SIZE,
      overlap: OVERLAP,
    }),
    signal: AbortSignal.timeout(60_000),
  });
  if (!r.ok) {
    console.error(`[corpus-B] HTTP ${r.status}: ${await r.text()}`);
    process.exit(1);
  }
  const j: any = await r.json();
  console.log(`[corpus-B] job ${j.job_id} · ${j.documents} docs → ${j.chunks} chunks queued`);
}

main().catch(e => { console.error(e); process.exit(1); });