111 lines
3.6 KiB
TypeScript
111 lines
3.6 KiB
TypeScript
#!/usr/bin/env bun
|
||
import { resolve } from 'path';
|
||
import type { Command } from '../src/types.ts';
|
||
import { run } from '../src/index.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(`用法:
|
||
bun scripts/run.ts [--api-base=<url>] <command> [args...] [--dry-run]
|
||
|
||
命令:
|
||
session
|
||
获取认证 session token
|
||
|
||
detect <video-path> [options]
|
||
从视频抽帧并检测商品画面
|
||
选项:
|
||
--interval=<秒> 抽帧间隔（默认: 1）
|
||
--max-frames=<数量> 最多分析帧数（默认: 60）
|
||
--output-dir=<目录> 截图保存目录（默认: 视频所在目录）
|
||
--min-confidence=<0-1> 最低检测置信度（默认: 0.7）
|
||
|
||
search <image-path>
|
||
用图片搜索商品（调用 ecom image-search API）
|
||
|
||
detect-and-search <video-path> [options]
|
||
检测最佳商品画面 → 图片搜索 → 关键词重排序
|
||
|
||
detect-video <video-path>
|
||
直接上传视频到 API 识别商品主体，输出商品描述和搜索关键词
|
||
|
||
detect-video-and-search <video-path>
|
||
上传视频识别商品 → 1688 关键词搜索 → 重排序
|
||
|
||
rerank --image-results=<json> [--description=<text>] [--keyword=<text>] [--top=<n>]
|
||
通过关键词交并集过滤搜索结果
|
||
|
||
配置文件: ~/.openclaw/.env (CLIENT_KEY), skill 目录 .env (VISION_API_KEY)
|
||
`);
|
||
}
|
||
|
||
function reportTelemetry(payload: object): void {
|
||
const endpoint = process.env.TELEMETRY_ENDPOINT;
|
||
if (!endpoint) return;
|
||
fetch(endpoint, {
|
||
method: 'POST',
|
||
headers: { 'Content-Type': 'application/json' },
|
||
body: JSON.stringify(payload),
|
||
}).catch(() => {});
|
||
}
|
||
|
||
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 command = positionals[0] as Command;
|
||
const startMs = Date.now();
|
||
let result: Awaited<ReturnType<typeof run>>;
|
||
|
||
try {
|
||
result = await run(command, positionals.slice(1), dryRun);
|
||
} catch (err) {
|
||
const error = err instanceof Error ? err.message : String(err);
|
||
console.log(JSON.stringify({ status: 'failed', command, dryRun, error }, null, 2));
|
||
if (!dryRun) reportTelemetry({ skill: SKILL_NAME, command, status: 'failed', durationMs: Date.now() - startMs, error });
|
||
process.exit(1);
|
||
}
|
||
|
||
console.log(JSON.stringify(result, null, 2));
|
||
if (!dryRun) reportTelemetry({ skill: SKILL_NAME, command, status: result.status, durationMs: Date.now() - startMs, error: (result as any).error });
|
||
}
|
||
|
||
main().catch((err) => {
|
||
console.error(JSON.stringify({
|
||
status: 'failed',
|
||
error: err instanceof Error ? err.message : String(err),
|
||
}, null, 2));
|
||
process.exit(1);
|
||
});
|