// Scenario generator for Phase 22 KB corpus-building.
//
// Emits N unique ScenarioSpec JSON files under
// tests/multi-agent/scenarios/ covering:
//   - different clients (so sig varies even when events match)
//   - different city/state combos actually present in workers_500k
//   - varied event sequences (baseline/recurring/expansion/emergency/misplacement)
//   - varied role mixes from the industrial staffing taxonomy
//
// Each scenario spec is written as scen_NN_CLIENT_CITY.json and can be
// fed to scenario.ts as argv[2]. A sibling run_batch.sh runs them all
// sequentially so the KB populates overnight.
//
// Determinism: the RNG seed is argv[2] (defaulting to 42) so repeat
// invocations produce identical specs.

import { mkdir, writeFile } from "node:fs/promises";
import { join } from "node:path";

// Deterministic PRNG — mulberry32, same as many test harnesses. Stable
// across bun versions; not cryptographic.
function mulberry32(seed: number) {
  let s = seed >>> 0;
  return () => {
    s = (s + 0x6D2B79F5) >>> 0;
    let t = s;
    t = Math.imul(t ^ (t >>> 15), t | 1);
    t ^= t + Math.imul(t ^ (t >>> 7), t | 61);
    return ((t ^ (t >>> 14)) >>> 0) / 4294967296;
  };
}

// Cities known to exist in workers_500k, chosen to avoid false-empty
// searches. All Midwest because that's the target persona's geography.
const CITIES: Array<{ city: string; state: string }> = [
  { city: "Toledo", state: "OH" },
  { city: "Cleveland", state: "OH" },
  { city: "Columbus", state: "OH" },
  { city: "Cincinnati", state: "OH" },
  { city: "Akron", state: "OH" },
  { city: "Detroit", state: "MI" },
  { city: "Grand Rapids", state: "MI" },
  { city: "Flint", state: "MI" },
  { city: "Indianapolis", state: "IN" },
  { city: "Fort Wayne", state: "IN" },
  { city: "Gary", state: "IN" },
  { city: "Chicago", state: "IL" },
  { city: "Joliet", state: "IL" },
  { city: "Rockford", state: "IL" },
  { city: "Milwaukee", state: "WI" },
  { city: "Madison", state: "WI" },
  { city: "Louisville", state: "KY" },
  { city: "Lexington", state: "KY" },
  { city: "Kansas City", state: "MO" },
  { city: "St. Louis", state: "MO" },
];

// Industrial staffing role taxonomy. Weighted so common roles appear
// more often (realistic distribution).
const ROLES: Array<{ role: string; weight: number }> = [
  { role: "Warehouse Associate", weight: 5 },
  { role: "Machine Operator", weight: 4 },
  { role: "Forklift Operator", weight: 4 },
  { role: "Loader", weight: 3 },
  { role: "Material Handler", weight: 3 },
  { role: "Assembler", weight: 3 },
  { role: "Quality Tech", weight: 2 },
  { role: "Picker", weight: 3 },
  { role: "Packer", weight: 3 },
  { role: "Shipping Clerk", weight: 2 },
  { role: "Receiving Clerk", weight: 2 },
  { role: "Welder", weight: 2 },
  { role: "CNC Operator", weight: 2 },
  { role: "Maintenance Tech", weight: 1 },
];

const CLIENTS = [
  "Riverfront Steel", "Northland Logistics", "Great Lakes Mfg",
  "Midway Distribution", "Pioneer Assembly", "Cornerstone Fabrication",
  "Horizon Supply", "Keystone Plastics", "Apex Warehouse",
  "Heritage Foods", "Summit Industrial", "Vanguard Components",
  "Centennial Packaging", "Parallel Machining", "Beacon Freight",
];

function pickWeighted<T extends { weight: number }>(rng: () => number, items: T[]): T {
  const total = items.reduce((s, x) => s + x.weight, 0);
  let r = rng() * total;
  for (const x of items) { r -= x.weight; if (r <= 0) return x; }
  return items[items.length - 1];
}

function pick<T>(rng: () => number, items: T[]): T {
  return items[Math.floor(rng() * items.length)];
}

// Event shape templates. Each scenario picks 3-6 of these at random.
// Multi-fill counts skew low to make the harness quicker; 5+ fill
// events are the hardest and should be rarer in a corpus run.
type EventKind = "baseline_fill" | "recurring" | "expansion" | "emergency" | "misplacement";

function makeEvent(
  rng: () => number,
  kind: EventKind,
  at: string,
  city: string,
  state: string,
): any {
  const { role } = pickWeighted(rng, ROLES);
  const count = kind === "misplacement" ? 1
    : kind === "expansion" ? 2 + Math.floor(rng() * 4)   // 2-5
    : kind === "baseline_fill" ? 1 + Math.floor(rng() * 3) // 1-3
    : kind === "recurring" ? 1 + Math.floor(rng() * 2)    // 1-2
    : /* emergency */ 2 + Math.floor(rng() * 3);          // 2-4
  const hour = 8 + Math.floor(rng() * 10);
  const min = Math.random() > 0.5 ? 0 : 30;
  const at_real = `${String(hour).padStart(2, "0")}:${String(min).padStart(2, "0")}`;
  return {
    kind,
    at: at_real,
    role,
    count,
    city,
    state,
    shift_start: `${at_real.replace(":", ":")} AM`,
  };
}

function genSpec(rng: () => number, id: number): any {
  const client = pick(rng, CLIENTS);
  const { city, state } = pick(rng, CITIES);
  const today = new Date();
  const date = new Date(today.getTime() + id * 86400000)
    .toISOString().split("T")[0];

  // Scenario shape mix — 60% pure fill (baseline+recurring+expansion),
  // 40% mixed (add emergency and/or misplacement).
  const includeEmergency = rng() > 0.6;
  const includeMisplacement = rng() > 0.6;
  const events: any[] = [];
  // always at least one baseline
  events.push(makeEvent(rng, "baseline_fill", "08:00", city, state));
  if (rng() > 0.3) events.push(makeEvent(rng, "recurring", "10:30", city, state));
  if (rng() > 0.5) events.push(makeEvent(rng, "expansion", "12:15", city, state));
  if (includeEmergency) events.push(makeEvent(rng, "emergency", "14:00", city, state));
  if (includeMisplacement) {
    const e = makeEvent(rng, "misplacement", "15:45", city, state);
    if (events.length > 0) e.replaces_event = events[0].at;
    events.push(e);
  }

  // Contract terms — most real staffing contracts have these. 70% of
  // generated specs carry them so KB + T3 learn to reason about budget
  // and radius trade-offs, not just geography. Distributions are
  // deliberately varied: 2 week to 45 day deadlines, $22-$38/hr caps,
  // 25-150mi local radii.
  const contract = rng() > 0.3 ? (() => {
    const deadlineDays = 10 + Math.floor(rng() * 35);
    const deadlineDate = new Date(today.getTime() + (id + deadlineDays) * 86400000)
      .toISOString().split("T")[0];
    const budgetPerHour = 22 + Math.floor(rng() * 17);
    const bonusRadius = 25 + Math.floor(rng() * 125);
    const bonusPerHour = 2 + Math.floor(rng() * 5);
    const fill: "paramount" | "preferred" = rng() > 0.4 ? "paramount" : "preferred";
    return {
      deadline: deadlineDate,
      budget_per_hour_max: budgetPerHour,
      local_bonus_per_hour: bonusPerHour,
      local_bonus_radius_mi: bonusRadius,
      fill_requirement: fill,
    };
  })() : undefined;

  return { client, date, events, ...(contract ? { contract } : {}) };
}

async function main() {
  const n = Number(process.argv[2] ?? 20);
  const seed = Number(process.argv[3] ?? 42);
  const rng = mulberry32(seed);
  const outDir = "tests/multi-agent/scenarios";
  await mkdir(outDir, { recursive: true });

  const manifest: Array<{ file: string; client: string; city: string; events: number }> = [];
  for (let i = 0; i < n; i++) {
    const spec = genSpec(rng, i);
    const cityLabel = spec.events[0].city.replace(/\s+/g, "_");
    const fname = `scen_${String(i).padStart(3, "0")}_${spec.client.replace(/\s+/g, "_")}_${cityLabel}.json`;
    await writeFile(join(outDir, fname), JSON.stringify(spec, null, 2));
    manifest.push({
      file: fname,
      client: spec.client,
      city: spec.events[0].city,
      events: spec.events.length,
    });
  }
  await writeFile(
    join(outDir, "manifest.json"),
    JSON.stringify({ count: n, seed, scenarios: manifest }, null, 2),
  );
  console.log(`✓ generated ${n} scenarios → ${outDir}/ (seed=${seed})`);
  for (const m of manifest.slice(0, 5)) {
    console.log(`   ${m.file} — ${m.client} (${m.city}), ${m.events} events`);
  }
  if (manifest.length > 5) console.log(`   ... +${manifest.length - 5} more`);
}

main().catch(e => {
  console.error("gen_scenarios failed:", (e as Error).message);
  process.exit(1);
});