valknar
b141356247
- Add --color-green-mid token (#4a7a55) to @theme for dimmer stat values
- Replace all text-[#hex]/bg-[#hex] arbitrary values with named tokens:
text-green, text-green-light, text-green-sec, text-green-muted,
text-green-dark, text-green-mid, text-text, bg-card, bg-bg, border-border
- Replace rgba(34,197,94,X) inline styles with bg-green/X opacity modifiers
- Convert single-prop style={{ borderColor/background }} to className
- Fix SVG stroke="#dff5e8" → stroke="currentColor"
- Use CSS variables in globals.css base styles (background-color, color)
- Move app/data/wikipedia/ → data/ (project root, not inside Next.js app dir)
- Update Dockerfile, seed.ts, scrape-wikipedia.ts paths accordingly
- Remove unused app/data/world_cup.csv
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
377 lines
14 KiB
TypeScript
377 lines
14 KiB
TypeScript
import postgres from 'postgres'
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import { drizzle } from 'drizzle-orm/postgres-js'
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import { sql } from 'drizzle-orm'
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import { readFileSync, existsSync } from 'fs'
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import path from 'path'
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import { fileURLToPath } from 'url'
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import { getIso } from '../lib/iso-codes'
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import { normalizeTeam } from '../lib/wiki-scraper'
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const DATABASE_URL = process.env.DATABASE_URL ?? 'postgres://wc:wc@localhost:5432/worldcup'
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const __dirname = path.dirname(fileURLToPath(import.meta.url))
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const WC_DIR = path.join(__dirname, '../data/wikipedia')
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const YEARS = [
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1930,1934,1938,1950,1954,1958,1962,1966,1970,1974,
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1978,1982,1986,1990,1994,1998,2002,2006,2010,2014,2018,2022,
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]
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function readJson<T>(filePath: string): T | null {
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if (!existsSync(filePath)) return null
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try { return JSON.parse(readFileSync(filePath, 'utf-8')) as T } catch { return null }
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}
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// ── Types matching scrape-wikipedia.ts output ──────────────────────────────
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type RawGoal = { name: string; minute?: string | number; offset?: number; penalty?: boolean; owngoal?: boolean }
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type RawScore = { ft?: number[]; ht?: number[]; et?: number[]; p?: number[] }
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type RawMatch = {
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round?: string; date?: string; time?: string;
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team1: string; team2: string; score?: RawScore;
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goals1?: RawGoal[]; goals2?: RawGoal[];
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group?: string; ground?: string;
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}
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type RawData = { matches: RawMatch[] }
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type RawMeta = { host: string; teams_count: number | null; winner: string | null; runner_up: string | null; third_place: string | null; fourth_place: string | null }
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type RawStadiums = { stadiums: { name: string; city: string; cc?: string; capacity?: number; timezone?: string; coords?: string }[] }
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type RawSquad = { name: string; players: { name: string; number?: number; pos?: string; date_of_birth?: string }[] }
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function parseScore(score: RawScore | undefined) {
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if (!score) return {}
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if (Array.isArray(score)) return { ft: score as number[] }
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return { ft: score.ft, ht: score.ht, et: score.et, p: score.p }
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}
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async function run() {
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const client = postgres(DATABASE_URL, { max: 5 })
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const db = drizzle(client)
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// Create tables
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await db.execute(sql`
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CREATE TABLE IF NOT EXISTS tournaments (
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year INTEGER PRIMARY KEY,
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host TEXT NOT NULL,
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winner TEXT,
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runner_up TEXT,
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third_place TEXT,
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fourth_place TEXT,
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teams_count INTEGER,
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matches_count INTEGER,
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total_goals INTEGER,
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avg_goals_per_game NUMERIC(4,2)
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);
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CREATE TABLE IF NOT EXISTS teams (
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id SERIAL PRIMARY KEY,
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name TEXT UNIQUE NOT NULL,
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iso2 TEXT,
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fifa_code TEXT,
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continent TEXT,
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confederation TEXT
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);
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CREATE TABLE IF NOT EXISTS stadiums (
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id SERIAL PRIMARY KEY,
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tournament_year INTEGER,
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name TEXT NOT NULL,
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city TEXT,
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country_code TEXT,
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capacity INTEGER,
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timezone TEXT,
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coordinates TEXT
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);
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CREATE TABLE IF NOT EXISTS matches (
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id SERIAL PRIMARY KEY,
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tournament_year INTEGER NOT NULL,
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round TEXT NOT NULL,
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group_name TEXT,
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date DATE,
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time_local TEXT,
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stadium_id INTEGER,
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team1_id INTEGER NOT NULL,
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team2_id INTEGER NOT NULL,
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score_ft_home INTEGER,
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score_ft_away INTEGER,
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score_ht_home INTEGER,
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score_ht_away INTEGER,
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score_et_home INTEGER,
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score_et_away INTEGER,
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score_p_home INTEGER,
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score_p_away INTEGER,
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is_quali_playoff BOOLEAN DEFAULT false
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);
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CREATE UNIQUE INDEX IF NOT EXISTS matches_unique
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ON matches (tournament_year, team1_id, team2_id, date, is_quali_playoff);
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CREATE TABLE IF NOT EXISTS goals (
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id SERIAL PRIMARY KEY,
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match_id INTEGER NOT NULL,
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team_id INTEGER NOT NULL,
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player_name TEXT NOT NULL,
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minute INTEGER,
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minute_offset INTEGER DEFAULT 0,
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is_penalty BOOLEAN DEFAULT false,
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is_own_goal BOOLEAN DEFAULT false
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);
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CREATE TABLE IF NOT EXISTS group_standings (
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tournament_year INTEGER NOT NULL,
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group_name TEXT NOT NULL,
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team_id INTEGER NOT NULL,
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pos INTEGER,
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played INTEGER DEFAULT 0,
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won INTEGER DEFAULT 0,
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drawn INTEGER DEFAULT 0,
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lost INTEGER DEFAULT 0,
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goals_for INTEGER DEFAULT 0,
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goals_against INTEGER DEFAULT 0,
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goal_diff INTEGER DEFAULT 0,
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pts INTEGER DEFAULT 0,
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PRIMARY KEY (tournament_year, group_name, team_id)
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);
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CREATE TABLE IF NOT EXISTS squads (
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id SERIAL PRIMARY KEY,
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tournament_year INTEGER NOT NULL,
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team_id INTEGER NOT NULL,
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player_name TEXT NOT NULL,
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shirt_number INTEGER,
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position TEXT,
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date_of_birth DATE
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);
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CREATE UNIQUE INDEX IF NOT EXISTS squads_unique
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ON squads (tournament_year, team_id, shirt_number);
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`)
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const force = process.argv.includes('--force') || process.argv.includes('-f')
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if (!force) {
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const existing = await db.execute(sql`SELECT COUNT(*)::int AS cnt FROM tournaments WHERE year < 2026`)
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if ((existing[0] as { cnt: number }).cnt > 0) {
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console.log('✓ Already seeded (historical data present), skipping. Use --force to re-import.')
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await client.end()
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return
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}
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}
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if (force) {
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console.log('--force: clearing historical data...')
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await db.execute(sql`DELETE FROM goals WHERE match_id IN (SELECT id FROM matches WHERE tournament_year < 2026)`)
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await db.execute(sql`DELETE FROM squads WHERE tournament_year < 2026`)
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await db.execute(sql`DELETE FROM group_standings WHERE tournament_year < 2026`)
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await db.execute(sql`DELETE FROM stadiums WHERE tournament_year < 2026`)
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await db.execute(sql`DELETE FROM matches WHERE tournament_year < 2026`)
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await db.execute(sql`DELETE FROM tournaments WHERE year < 2026`)
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}
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console.log('Seeding historical data (1930–2022)...')
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const teamCache = new Map<string, number>()
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async function upsertTeam(rawName: string): Promise<number> {
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const name = normalizeTeam(rawName)
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if (teamCache.has(name)) return teamCache.get(name)!
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const iso2 = getIso(name)
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const [row] = await db.execute(sql`
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INSERT INTO teams (name, iso2)
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VALUES (${name}, ${iso2 ?? null})
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ON CONFLICT (name) DO UPDATE SET name = EXCLUDED.name
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RETURNING id
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`)
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const id = (row as { id: number }).id
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teamCache.set(name, id)
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return id
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}
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// Per-year data from Wikipedia JSON files
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let totalMatches = 0
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let totalGoals = 0
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for (const year of YEARS) {
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const yearDir = path.join(WC_DIR, String(year))
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const mainData = readJson<RawData>(path.join(yearDir, 'worldcup.json'))
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if (!mainData?.matches) {
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console.log(` ${year}: no data file, skipping`)
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continue
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}
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// Tournament row from meta.json
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const meta = readJson<RawMeta>(path.join(yearDir, 'worldcup.meta.json'))
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if (meta) {
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await db.execute(sql`
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INSERT INTO tournaments (year, host, winner, runner_up, third_place, fourth_place, teams_count)
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VALUES (
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${year}, ${meta.host || null},
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${normalizeTeam(meta.winner ?? '') || null}, ${normalizeTeam(meta.runner_up ?? '') || null},
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${normalizeTeam(meta.third_place ?? '') || null}, ${normalizeTeam(meta.fourth_place ?? '') || null},
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${meta.teams_count ?? null}
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)
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ON CONFLICT (year) DO UPDATE SET
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host = EXCLUDED.host,
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winner = EXCLUDED.winner,
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runner_up = EXCLUDED.runner_up,
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third_place = EXCLUDED.third_place,
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fourth_place = EXCLUDED.fourth_place,
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teams_count = EXCLUDED.teams_count
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`)
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}
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let matchCount = 0, goalCount = 0
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// Stadiums
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const stadiumsData = readJson<RawStadiums>(path.join(yearDir, 'worldcup.stadiums.json'))
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if (stadiumsData?.stadiums) {
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for (const s of stadiumsData.stadiums) {
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await db.execute(sql`
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INSERT INTO stadiums (tournament_year, name, city)
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VALUES (${year}, ${s.name}, ${s.city ?? null})
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ON CONFLICT DO NOTHING
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`)
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}
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}
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// Matches and goals
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for (const m of mainData.matches) {
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const t1Id = await upsertTeam(m.team1)
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const t2Id = await upsertTeam(m.team2)
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const score = parseScore(m.score)
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const [matchRow] = await db.execute(sql`
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INSERT INTO matches (
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tournament_year, round, group_name, date, time_local,
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team1_id, team2_id,
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score_ft_home, score_ft_away,
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score_ht_home, score_ht_away,
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score_et_home, score_et_away,
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score_p_home, score_p_away,
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is_quali_playoff
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) VALUES (
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${year}, ${m.round ?? 'Unknown'}, ${m.group ?? null},
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${m.date ?? null}, ${m.time ?? null},
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${t1Id}, ${t2Id},
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${score.ft?.[0] ?? null}, ${score.ft?.[1] ?? null},
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${score.ht?.[0] ?? null}, ${score.ht?.[1] ?? null},
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${score.et?.[0] ?? null}, ${score.et?.[1] ?? null},
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${score.p?.[0] ?? null}, ${score.p?.[1] ?? null},
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false
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)
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ON CONFLICT (tournament_year, team1_id, team2_id, date, is_quali_playoff) DO UPDATE SET
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round = EXCLUDED.round,
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group_name = COALESCE(EXCLUDED.group_name, matches.group_name),
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time_local = COALESCE(EXCLUDED.time_local, matches.time_local),
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score_ft_home = COALESCE(EXCLUDED.score_ft_home, matches.score_ft_home),
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score_ft_away = COALESCE(EXCLUDED.score_ft_away, matches.score_ft_away),
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score_ht_home = COALESCE(EXCLUDED.score_ht_home, matches.score_ht_home),
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score_ht_away = COALESCE(EXCLUDED.score_ht_away, matches.score_ht_away),
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score_et_home = COALESCE(EXCLUDED.score_et_home, matches.score_et_home),
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score_et_away = COALESCE(EXCLUDED.score_et_away, matches.score_et_away),
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score_p_home = COALESCE(EXCLUDED.score_p_home, matches.score_p_home),
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score_p_away = COALESCE(EXCLUDED.score_p_away, matches.score_p_away)
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RETURNING id
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`)
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const matchId = (matchRow as { id: number }).id
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// Goals (delete + re-insert)
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await db.execute(sql`DELETE FROM goals WHERE match_id = ${matchId}`)
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for (const [rawGoals, teamId, ogTeamId] of [
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[m.goals1 ?? [], t1Id, t2Id],
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[m.goals2 ?? [], t2Id, t1Id],
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] as [RawGoal[], number, number][]) {
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for (const g of rawGoals) {
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if (!g.name) continue
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const minute = g.minute != null ? parseInt(String(g.minute)) : null
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const actualTeamId = g.owngoal ? ogTeamId : teamId
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await db.execute(sql`
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INSERT INTO goals (match_id, team_id, player_name, minute, minute_offset, is_penalty, is_own_goal)
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VALUES (${matchId}, ${actualTeamId}, ${g.name}, ${!minute || isNaN(minute) ? null : minute},
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${g.offset ?? 0}, ${g.penalty ?? false}, ${g.owngoal ?? false})
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`)
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goalCount++
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}
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}
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matchCount++
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}
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// Squads
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const squadsData = readJson<RawSquad[]>(path.join(yearDir, 'worldcup.squads.json'))
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if (squadsData && Array.isArray(squadsData)) {
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for (const sq of squadsData) {
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const teamId = await upsertTeam(sq.name)
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for (const p of sq.players) {
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if (!p.name) continue
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const dob = p.date_of_birth ? p.date_of_birth.replace(/\s/g, '') : null
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await db.execute(sql`
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INSERT INTO squads (tournament_year, team_id, player_name, shirt_number, position, date_of_birth)
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VALUES (${year}, ${teamId}, ${p.name}, ${p.number ?? null},
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${p.pos ?? null}, ${dob})
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ON CONFLICT (tournament_year, team_id, shirt_number) DO UPDATE SET
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player_name = EXCLUDED.player_name,
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position = EXCLUDED.position,
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date_of_birth = EXCLUDED.date_of_birth
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`)
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}
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}
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}
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console.log(` ${year}: ${matchCount} matches, ${goalCount} goals`)
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totalMatches += matchCount
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totalGoals += goalCount
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}
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// 3. Group standings (computed from match results)
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console.log('Computing group standings...')
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await db.execute(sql`
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DELETE FROM group_standings WHERE tournament_year < 2026
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`)
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await db.execute(sql`
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INSERT INTO group_standings (tournament_year, group_name, team_id, played, won, drawn, lost,
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goals_for, goals_against, goal_diff, pts)
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WITH match_results AS (
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SELECT tournament_year, group_name, team1_id AS team_id, score_ft_home AS gf, score_ft_away AS ga
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FROM matches WHERE tournament_year < 2026 AND group_name IS NOT NULL
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AND is_quali_playoff = false AND score_ft_home IS NOT NULL
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UNION ALL
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SELECT tournament_year, group_name, team2_id, score_ft_away, score_ft_home
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FROM matches WHERE tournament_year < 2026 AND group_name IS NOT NULL
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AND is_quali_playoff = false AND score_ft_home IS NOT NULL
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)
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SELECT tournament_year, group_name, team_id,
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COUNT(*)::int,
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SUM(CASE WHEN gf > ga THEN 1 ELSE 0 END)::int,
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SUM(CASE WHEN gf = ga THEN 1 ELSE 0 END)::int,
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SUM(CASE WHEN gf < ga THEN 1 ELSE 0 END)::int,
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SUM(gf)::int, SUM(ga)::int, SUM(gf - ga)::int,
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SUM(CASE WHEN gf > ga THEN 3 WHEN gf = ga THEN 1 ELSE 0 END)::int
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FROM match_results
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GROUP BY tournament_year, group_name, team_id
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ON CONFLICT (tournament_year, group_name, team_id) DO UPDATE SET
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played = EXCLUDED.played, won = EXCLUDED.won, drawn = EXCLUDED.drawn,
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lost = EXCLUDED.lost, goals_for = EXCLUDED.goals_for,
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goals_against = EXCLUDED.goals_against, goal_diff = EXCLUDED.goal_diff,
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pts = EXCLUDED.pts
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`)
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// 4. Tournament aggregates
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await db.execute(sql`
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UPDATE tournaments t SET
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matches_count = (
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SELECT COUNT(*)::int FROM matches WHERE tournament_year = t.year AND is_quali_playoff = false
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),
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total_goals = (
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SELECT COUNT(g.id)::int
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FROM goals g JOIN matches m ON g.match_id = m.id
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WHERE m.tournament_year = t.year AND m.is_quali_playoff = false
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),
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avg_goals_per_game = (
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SELECT ROUND(COUNT(g.id)::numeric / NULLIF(COUNT(DISTINCT m.id), 0), 2)
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FROM goals g JOIN matches m ON g.match_id = m.id
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WHERE m.tournament_year = t.year AND m.is_quali_playoff = false
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AND m.score_ft_home IS NOT NULL
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)
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WHERE t.year < 2026
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`)
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console.log(`\n✅ Seed complete: ${totalMatches} matches, ${totalGoals} goals (1930–2022)`)
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await client.end()
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}
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run().catch(e => { console.error('Seed failed:', e); process.exit(1) })
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