foodie-server/.tmp/lanhu-mcp-read.mjs

import { Client } from 'file:///C:/Users/qmj/AppData/Roaming/npm/node_modules/mcp-lanhu/node_modules/@modelcontextprotocol/sdk/dist/esm/client/index.js';
import { StdioClientTransport } from 'file:///C:/Users/qmj/AppData/Roaming/npm/node_modules/mcp-lanhu/node_modules/@modelcontextprotocol/sdk/dist/esm/client/stdio.js';
import { mkdir, writeFile } from 'node:fs/promises';

const projectUrl = 'https://lanhuapp.com/web/#/item/project/stage?tid=15517692-8265-47f1-9ba9-7616f57c770f&pid=498cd54f-39c7-4fcc-abf7-cb4e8fcb8f61&corpId=null';
const transport = new StdioClientTransport({
  command: 'C:\\Users\\qmj\\AppData\\Roaming\\npm\\mcp-lanhu.cmd',
  args: [],
  env: process.env
});
const client = new Client({ name: 'codex-lanhu-reader', version: '1.0.0' });
await client.connect(transport);
try {
  const result = await client.callTool({
    name: 'lanhu_design',
    arguments: {
      url: projectUrl,
      mode: 'analyze',
      design_names: ['1', '2', '3', '4', '5', '6', '7'],
      include: ['image', 'tokens', 'layout', 'layers'],
      layer_depth: 2
    }
  });
  const payload = result.structuredContent ?? {};
  const designs = Array.isArray(payload.designs) ? payload.designs : [];
  const outDir = new URL('./lanhu-flash-delivery/', import.meta.url);
  await mkdir(outDir, { recursive: true });
  const images = result.content?.filter(item => item.type === 'image') ?? [];
  for (let index = 0; index < images.length; index += 1) {
    await writeFile(new URL(`mcp-${String(index + 1).padStart(2, '0')}.png`, outDir), Buffer.from(images[index].data, 'base64'));
  }
  await writeFile(new URL('analysis.json', outDir), JSON.stringify(payload, null, 2), 'utf8');
  console.log(JSON.stringify({
    isError: Boolean(result.isError),
    projectName: payload.project_name ?? null,
    status: payload.status ?? null,
    totalDesigns: payload.total_designs ?? designs.length,
    imageCount: images.length,
    designs: designs.map(item => ({
      name: item.name,
      status: item.status,
      outputs: item.outputs,
      layerDepth: item.layer_depth,
      layerTreeTruncated: item.layer_tree_truncated
    }))
  }));
} finally {
  await client.close();
}