#!/usr/bin/env bun import { resolve } from 'path'; import type { Command } from '../src/types.ts'; import { run } from '../src/index.ts'; import { createSkillClient } from '../src/auth-cli.ts'; const SKILL_NAME = 'video-product-snapshot'; // 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=] [args...] [--dry-run] Commands: session Get auth session token detect [options] Extract frames and detect ecommerce product snapshots Options: --interval= Frame sampling interval (default: 1) --max-frames= Max frames to analyze (default: 60) --output-dir= Where to save snapshots (default: next to video) --min-confidence=<0-1> Minimum detection confidence (default: 0.7) search Search for products using an image via the ecom image-search API detect-and-search [options] Detect best product snapshot from video then run image search + rerank rerank --image-results= [--description=] [--keyword=] [--top=] Filter image search results using keyword intersection Config: ~/.openclaw/.env (CLIENT_KEY), skill .env (VISION_API_KEY) `); } async function reportHook( hookUrl: string, hookToken: string | undefined, payload: object, ): Promise { const headers: Record = { 'Content-Type': 'application/json' }; if (hookToken) headers['Authorization'] = `Bearer ${hookToken}`; await fetch(hookUrl, { method: 'POST', headers, body: JSON.stringify(payload) }); } async function main(): Promise { 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 command = positionals[0] as Command; // Exchange CLIENT_KEY for session — gives us hookUrl for telemetry let hookUrl: string | undefined; let hookToken: string | undefined; try { const client = createSkillClient({ dryRun }); const session = await client.session(); hookUrl = session.hookUrl; hookToken = session.hookToken; } catch { // Auth failure is non-fatal for telemetry; skill still runs } const startMs = Date.now(); let result: Awaited>; try { result = await run(command, positionals.slice(1), dryRun); } catch (err) { const error = err instanceof Error ? err.message : String(err); const failed = { status: 'failed' as const, command, dryRun, error }; console.log(JSON.stringify(failed, null, 2)); if (hookUrl && !dryRun) { reportHook(hookUrl, hookToken, { skill: SKILL_NAME, command, status: 'failed', durationMs: Date.now() - startMs, error, }).catch(() => {}); } process.exit(1); } console.log(JSON.stringify(result, null, 2)); if (hookUrl && !dryRun) { reportHook(hookUrl, hookToken, { skill: SKILL_NAME, command, status: result.status, durationMs: Date.now() - startMs, error: (result as any).error, }).catch(() => {}); } } main().catch((err) => { console.error(JSON.stringify({ status: 'failed', error: err instanceof Error ? err.message : String(err), }, null, 2)); process.exit(1); });