wm
b3b58e66fb
- backend: NestJS service with exercise/plan data - miniprogram: WeChat mini program client - exclude node_modules, dist, runtime data-store, local env
34 lines
1.3 KiB
JavaScript
34 lines
1.3 KiB
JavaScript
/**
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* prebuild 脚本：确保后端数据集存在。
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* 若 backend/src/exercises/data/exercises.json 不存在，则从 GitHub 原始数据集下载。
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*/
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import * as fs from 'fs';
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import * as path from 'path';
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import { fileURLToPath } from 'url';
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const __dirname = path.dirname(fileURLToPath(import.meta.url));
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const DATA_FILE = path.join(__dirname, '..', 'src', 'exercises', 'data', 'exercises.json');
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const SOURCE =
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'https://raw.githubusercontent.com/hasaneyldrm/exercises-dataset/main/data/exercises.json';
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async function main() {
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if (fs.existsSync(DATA_FILE)) {
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console.log('[ensure-data] 数据集已存在，跳过下载。');
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return;
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}
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console.log('[ensure-data] 未找到数据集，开始从 GitHub 下载 ...');
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fs.mkdirSync(path.dirname(DATA_FILE), { recursive: true });
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const res = await fetch(SOURCE);
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if (!res.ok) throw new Error(`下载失败: HTTP ${res.status}`);
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const buf = Buffer.from(await res.arrayBuffer());
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fs.writeFileSync(DATA_FILE, buf);
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console.log(`[ensure-data] 已保存数据集 (${(buf.length / 1024 / 1024).toFixed(1)} MB)`);
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}
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main().catch((e) => {
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console.error('[ensure-data] 错误:', e.message);
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console.error('请手动将 exercises-dataset 的 data/exercises.json 放入 backend/src/exercises/data/');
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process.exit(1);
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});
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