/**
 * Seed script for GTS-X local development
 * Run with: npx tsx scripts/seed.ts
 */

import pg from "pg";
import { drizzle } from "drizzle-orm/node-postgres";
import * as schema from "../src/schema/schema";

const DATABASE_URL =
  process.env.DATABASE_URL ||
  "postgresql://cpx_user:cpx_password@localhost:5432/cpx_studio";

async function seed() {
  const pool = new pg.Pool({ connectionString: DATABASE_URL });
  const db = drizzle(pool, { schema });

  console.log("Seeding GTS-X development data...\n");

  // 1. Create resources
  console.log("Creating resources...");
  const [resource1] = await db
    .insert(schema.resources)
    .values({
      name: "Alice Kim",
      email: "alice.kim@iyuno.com",
      atlasResourceId: "atlas-r-001",
      branchId: "seoul",
    })
    .onConflictDoNothing()
    .returning();

  const [resource2] = await db
    .insert(schema.resources)
    .values({
      name: "Bob Tanaka",
      email: "bob.tanaka@iyuno.com",
      atlasResourceId: "atlas-r-002",
      branchId: "tokyo",
    })
    .onConflictDoNothing()
    .returning();

  const [resource3] = await db
    .insert(schema.resources)
    .values({
      name: "Clara Nowak",
      email: "clara.nowak@iyuno.com",
      atlasResourceId: "atlas-r-003",
      branchId: "warsaw",
    })
    .onConflictDoNothing()
    .returning();

  if (!resource1 || !resource2 || !resource3) {
    console.log(
      "  Resources already exist (skipping). Drop tables first to re-seed."
    );
    await pool.end();
    return;
  }

  console.log(`  Created: ${resource1.name}, ${resource2.name}, ${resource3.name}`);

  // 2. Create skill sets
  console.log("Creating skill sets...");
  await db.insert(schema.resourceSkillSets).values([
    {
      resourceId: resource1.id,
      platform: "GTS_X",
      grade: "senior",
      sourceLanguageId: "en",
      targetLanguageId: "ko",
    },
    {
      resourceId: resource2.id,
      platform: "GTS_X",
      grade: "mid",
      sourceLanguageId: "en",
      targetLanguageId: "ja",
    },
    {
      resourceId: resource3.id,
      platform: "GTS_X",
      grade: "senior",
      sourceLanguageId: "en",
      targetLanguageId: "pl",
    },
  ]);

  // 3. Create sample jobs
  console.log("Creating sample jobs...");

  // Sample GTSDocument for testing
  const sampleDocument = {
    info: {
      title: "Sample Episode S01E01",
      episode: "S01E01",
      fps: 23.976,
    },
    tracks: [
      {
        language: "en",
        subtitles: [
          {
            tcIn: "00:00:05:00",
            tcOut: "00:00:08:00",
            text: "Welcome to the show.",
            speaker: "NARRATOR",
          },
          {
            tcIn: "00:00:10:00",
            tcOut: "00:00:13:00",
            text: "It's a beautiful day outside.",
            speaker: "CHARACTER_A",
          },
          {
            tcIn: "00:00:14:00",
            tcOut: "00:00:17:00",
            text: "I couldn't agree more.\nLet's go for a walk.",
            speaker: "CHARACTER_B",
          },
          {
            tcIn: "00:00:20:00",
            tcOut: "00:00:23:00",
            text: "The park should be lovely this time of year.",
            speaker: "CHARACTER_A",
          },
          {
            tcIn: "00:00:25:00",
            tcOut: "00:00:28:00",
            text: "♪ Background music plays ♪",
            speaker: "",
          },
        ],
      },
    ],
  };

  const [job1] = await db
    .insert(schema.jobs)
    .values({
      arcJobId: "arc-job-001",
      orderId: "ORD-2026-001",
      sourceLanguage: "en",
      targetLanguage: "ko",
      clientId: "netflix",
      status: "pending",
      initialDocument: sampleDocument,
      currentDocument: sampleDocument,
      metadata: { clientProfile: "netflix-standard", maxCPL: 42 },
    })
    .returning();

  const [job2] = await db
    .insert(schema.jobs)
    .values({
      arcJobId: "arc-job-002",
      orderId: "ORD-2026-002",
      sourceLanguage: "en",
      targetLanguage: "ja",
      clientId: "disney",
      status: "assigned",
      initialDocument: sampleDocument,
      currentDocument: sampleDocument,
      metadata: { clientProfile: "disney-plus", maxCPL: 40 },
    })
    .returning();

  const [job3] = await db
    .insert(schema.jobs)
    .values({
      arcJobId: "arc-job-003",
      orderId: "ORD-2026-003",
      sourceLanguage: "en",
      targetLanguage: "pl",
      clientId: "hbo",
      status: "in_progress",
      initialDocument: sampleDocument,
      currentDocument: sampleDocument,
    })
    .returning();

  const [job4] = await db
    .insert(schema.jobs)
    .values({
      arcJobId: "arc-job-004",
      orderId: "ORD-2026-004",
      sourceLanguage: "en",
      targetLanguage: "ko",
      clientId: "netflix",
      status: "completed",
      initialDocument: sampleDocument,
      currentDocument: sampleDocument,
    })
    .returning();

  console.log(`  Created ${4} sample jobs`);

  // 4. Create assignments for assigned/in_progress jobs
  console.log("Creating assignments...");
  await db.insert(schema.jobAssignments).values([
    {
      jobId: job2.id,
      resourceId: resource2.id,
      assignmentType: "manual",
      acceptanceStatus: "accepted",
      startedAt: new Date(),
      deadline: new Date(Date.now() + 7 * 24 * 60 * 60 * 1000),
    },
    {
      jobId: job3.id,
      resourceId: resource3.id,
      assignmentType: "manual",
      acceptanceStatus: "accepted",
      startedAt: new Date(),
    },
    {
      jobId: job4.id,
      resourceId: resource1.id,
      assignmentType: "auto",
      acceptanceStatus: "accepted",
      startedAt: new Date(Date.now() - 3 * 24 * 60 * 60 * 1000),
      completedAt: new Date(),
    },
  ]);

  // 5. Create sample diffs for the completed job
  console.log("Creating sample edit diffs...");
  await db.insert(schema.editDiffs).values([
    {
      jobId: job4.id,
      subtitleIndex: 1,
      field: "text",
      oldValue: "It's a beautiful day outside.",
      newValue: "밖은 정말 아름다운 날이에요.",
      rationale: "LSX translation was too literal — adjusted to natural Korean phrasing",
      changeCategory: "translation_fix",
    },
    {
      jobId: job4.id,
      subtitleIndex: 2,
      field: "tc_out",
      oldValue: "00:00:17:00",
      newValue: "00:00:16:12",
      rationale: "Subtitle was overlapping with next cue by 1 frame — shortened to fix gap",
      changeCategory: "timing_fix",
    },
    {
      jobId: job4.id,
      subtitleIndex: 3,
      field: "text",
      oldValue: "The park should be lovely this time of year.",
      newValue: "이맘때 공원이 좋을 거예요.",
      rationale: "CPL exceeded 42 chars — shortened translation while preserving meaning",
      changeCategory: "cpl_fix",
    },
  ]);

  // 6. Create sample feedback analysis for the completed job
  console.log("Creating sample feedback analysis...");
  await db.insert(schema.feedbackAnalyses).values([
    {
      jobId: job4.id,
      errorType: "cicd_needed",
      confidenceScore: 0.87,
      description:
        "Editor shortened subtitle 3 due to CPL violation (42 char limit). LSX should have enforced Netflix Korean CPL during translation.",
      affectedInput: "lsx_prompt",
      reviewStatus: "pending",
    },
    {
      jobId: job4.id,
      errorType: "style_preference",
      confidenceScore: 0.65,
      description:
        "Editor rephrased subtitle 1 for more natural Korean. This is a style improvement, not an error in LSX output.",
      reviewStatus: "pending",
    },
  ]);

  console.log("\nSeed complete!");
  console.log("  3 resources");
  console.log("  4 jobs (pending, assigned, in_progress, completed)");
  console.log("  3 assignments");
  console.log("  3 edit diffs");
  console.log("  2 feedback analyses");

  await pool.end();
}

seed().catch((err) => {
  console.error("Seed failed:", err);
  process.exit(1);
});