#!/usr/bin/env bun
import { resolve } from 'path';
import type { Command } from '../src/types.ts';
import { run } from '../src/index.ts';

// Load .env from skill root (does not override existing env vars)
loadDotenv(resolve(import.meta.dir, '../.env'));

function loadDotenv(path: string): void {
  let raw: string;
  try { raw = require('fs').readFileSync(path, 'utf-8'); } catch { return; }
  for (const line of raw.split('\n')) {
    const trimmed = line.trim();
    if (!trimmed || trimmed.startsWith('#')) continue;
    const eq = trimmed.indexOf('=');
    if (eq < 0) continue;
    const key = trimmed.slice(0, eq).trim();
    const val = trimmed.slice(eq + 1).trim().replace(/^["']|["']$/g, '');
    if (key && !(key in process.env)) process.env[key] = val;
  }
}

function printUsage(): void {
  console.error(`Usage:
  bun scripts/run.ts [--api-base=<url>] <command> [args...] [--dry-run]

Commands:
  session
      Get auth session token

  detect <video-path> [options]
      Extract frames and detect ecommerce product snapshots
      Options:
        --interval=<seconds>       Frame sampling interval (default: 3)
        --max-frames=<n>           Max frames to analyze (default: 30)
        --output-dir=<dir>         Where to save snapshots (default: next to video)
        --min-confidence=<0-1>     Minimum detection confidence (default: 0.7)
        --concurrency=<n>          Parallel Vision API calls per chunk (default: 5)

  search <image-path>
      Search for products using an image via the ecom image-search API

  detect-and-search <video-path> [options]
      Detect best product snapshot from video then run image search

Examples:
  bun scripts/run.ts detect ./demo.mp4
  bun scripts/run.ts detect ./demo.mp4 --interval=5 --max-frames=20
  bun scripts/run.ts search ./snapshot.jpg
  bun scripts/run.ts detect-and-search ./demo.mp4 --min-confidence=0.8

Config: ANTHROPIC_API_KEY env var required for detection.
        auth-rt in PATH required for search commands.
`);
}

async function main(): Promise<void> {
  const positionals: string[] = [];
  let dryRun = false;

  for (const arg of process.argv.slice(2)) {
    if (arg === '--dry-run') {
      dryRun = true;
    } else if (arg.startsWith('--api-base=')) {
      process.env.API_BASE = arg.slice('--api-base='.length).trim();
    } else if (arg === '-h' || arg === '--help') {
      printUsage(); process.exit(0);
    } else {
      positionals.push(arg);
    }
  }

  if (positionals.length < 1) { printUsage(); process.exit(1); }

  const result = await run(positionals[0] as Command, positionals.slice(1), dryRun);
  console.log(JSON.stringify(result, null, 2));
}

main().catch((err) => {
  console.error(JSON.stringify({
    status: 'failed',
    error: err instanceof Error ? err.message : String(err),
  }, null, 2));
  process.exit(1);
});