openclaw-voc-skill/claude-code/claude-code-voc-intelligence/scripts/smoke-mcp.js

#!/usr/bin/env node
const path = require('path');
const { Client } = require('@modelcontextprotocol/sdk/client/index.js');
const { StdioClientTransport } = require('@modelcontextprotocol/sdk/client/stdio.js');
const { version } = require('../package.json');

async function main() {
  const cwd = path.resolve(__dirname, '..');
  const client = new Client({
    name: 'voc-intelligence-smoke',
    version
  });

  const transport = new StdioClientTransport({
    command: process.execPath,
    args: ['mcp/src/server.js'],
    cwd,
    stderr: 'pipe'
  });

  const stderr = transport.stderr;
  if (stderr) {
    stderr.on('data', chunk => {
      process.stderr.write(chunk);
    });
  }

  await client.connect(transport);
  try {
    const tools = await client.listTools();
    const toolNames = tools.tools.map(tool => tool.name);
    if (!toolNames.includes('fmode_image_analysis')) {
      throw new Error(`Expected tool fmode_image_analysis, got: ${toolNames.join(', ')}`);
    }
    const imageTool = tools.tools.find(tool => tool.name === 'fmode_image_analysis');
    const imageSchema = JSON.stringify(imageTool?.inputSchema || {});
    if (!imageSchema.includes('imagePath') || !imageSchema.includes('fmodeToken')) {
      throw new Error('Expected fmode_image_analysis to accept imagePath and fmodeToken inputs');
    }

    const trendTool = tools.tools.find(tool => tool.name === 'voc_xiaohongshu_trend_run');
    const trendSchema = JSON.stringify(trendTool?.inputSchema || {});
    if (!trendTool || !trendSchema.includes('xiaohongshuToken') || !trendSchema.includes('vocToken')) {
      throw new Error('Expected voc_xiaohongshu_trend_run to accept simple request token inputs xiaohongshuToken and vocToken');
    }
    if (!toolNames.includes('voc_xiaohongshu_trend_run')) {
      throw new Error(`Expected tool voc_xiaohongshu_trend_run, got: ${toolNames.join(', ')}`);
    }
    if (!toolNames.includes('voc_xiaohongshu_preference_update')) {
      throw new Error(`Expected tool voc_xiaohongshu_preference_update, got: ${toolNames.join(', ')}`);
    }
    if (!toolNames.includes('voc_problem_deep_dive_run')) {
      throw new Error(`Expected tool voc_problem_deep_dive_run, got: ${toolNames.join(', ')}`);
    }
    if (!toolNames.includes('voc_issue_pool_run')) {
      throw new Error(`Expected tool voc_issue_pool_run, got: ${toolNames.join(', ')}`);
    }
    if (!toolNames.includes('voc_content_plan_run')) {
      throw new Error(`Expected tool voc_content_plan_run, got: ${toolNames.join(', ')}`);
    }
    if (!toolNames.includes('voc_speaking_script_run')) {
      throw new Error(`Expected tool voc_speaking_script_run, got: ${toolNames.join(', ')}`);
    }
    if (!toolNames.includes('voc_competitor_map_run')) {
      throw new Error(`Expected tool voc_competitor_map_run, got: ${toolNames.join(', ')}`);
    }
    if (!toolNames.includes('voc_business_workflow_run')) {
      throw new Error(`Expected tool voc_business_workflow_run, got: ${toolNames.join(', ')}`);
    }
    const issuePoolTool = tools.tools.find(tool => tool.name === 'voc_issue_pool_run');
    const issuePoolSchema = JSON.stringify(issuePoolTool?.inputSchema || {});
    if (!issuePoolSchema.includes('evidence') || !issuePoolSchema.includes('resolvedIssues')) {
      throw new Error('Expected voc_issue_pool_run to expose evidence and status inputs');
    }
    const deepDiveTool = tools.tools.find(tool => tool.name === 'voc_problem_deep_dive_run');
    const deepDiveSchema = JSON.stringify(deepDiveTool?.inputSchema || {});
    if (!deepDiveSchema.includes('project') || !deepDiveSchema.includes('feedback') || !deepDiveSchema.includes('blockedActions')) {
      throw new Error('Expected voc_problem_deep_dive_run to expose scoped memory and feedback inputs');
    }

    const preferenceResult = await client.callTool({
      name: 'voc_xiaohongshu_preference_update',
      arguments: {
        message: '保留奶油风和全屋定制翻车方向，不要纯风格美图，下一个版本更偏门店转化话术。',
        memory: '../outputs/claude-code-xhs-mcp-smoke/xiaohongshu-trend-memory.json'
      }
    });

    const preferenceStructured = preferenceResult.structuredContent || {};
    if (preferenceStructured.status !== 'ok') {
      throw new Error(`Expected ok preference result, got: ${JSON.stringify(preferenceStructured)}`);
    }

    const sentinelToken = 'SMOKE_REQUEST_TOKEN_VALUE';
    const tokenCheckResult = await client.callTool({
      name: 'voc_xiaohongshu_token_check',
      arguments: {
        vocToken: sentinelToken
      }
    });
    const tokenStructured = tokenCheckResult.structuredContent || {};
    const tokenText = JSON.stringify(tokenStructured);
    if (tokenStructured.status !== 'ok' || tokenStructured.configured !== true) {
      throw new Error(`Expected request-scoped token to be accepted, got: ${tokenText}`);
    }
    if (tokenText.includes(sentinelToken)) {
      throw new Error('Request-scoped token leaked in MCP token check result');
    }

    const imageNoToken = await client.callTool({
      name: 'fmode_image_analysis',
      arguments: {
        images: ['data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/x8AAwMCAO+/p9sAAAAASUVORK5CYII='],
        prompt: '识别这张测试图片',
        allowEnvToken: false
      }
    });
    if (!imageNoToken.structuredContent || imageNoToken.structuredContent.status !== 'needs_token') {
      throw new Error('image analysis no-token path returned unexpected structured content');
    }
    if (Array.isArray(imageNoToken.structuredContent.errors) && imageNoToken.structuredContent.errors.length !== 0) {
      throw new Error('image analysis no-token path should keep errors empty');
    }

    const result = await client.callTool({
      name: 'voc_xiaohongshu_trend_run',
      arguments: {
        collectionMode: 'sample',
        profile: 'memory-templates/xiaohongshu-trend-profile.json',
        memory: '../outputs/claude-code-xhs-mcp-smoke/xiaohongshu-trend-memory.json',
        output: '../outputs/claude-code-xhs-mcp-smoke'
      }
    });

    const structured = result.structuredContent || {};
    if (structured.status !== 'ok') {
      throw new Error(`Expected ok result, got: ${JSON.stringify(structured)}`);
    }

    const assistantMessage = String(structured.assistantMessage || '');
    const evidenceFields = ['## 证据样本', '原帖', '原文摘录', '高赞评论'];
    const missingEvidenceFields = evidenceFields.filter(field => !assistantMessage.includes(field));
    if (missingEvidenceFields.length) {
      throw new Error(`Expected evidence card fields in sample report, missing: ${missingEvidenceFields.join(', ')}`);
    }
    if (/xiaohongshu\.com\/explore\//.test(assistantMessage)) {
      throw new Error('Sample report should not contain /explore/ Xiaohongshu links');
    }
    const assetFiles = (structured.files || []).filter(file => /[\\/]assets[\\/]/.test(file));
    if (!assetFiles.length) {
      throw new Error('Expected cached asset files in sample report result');
    }

    const issuePoolResult = await client.callTool({
      name: 'voc_issue_pool_run',
      arguments: {
        project: 'MCP示例品牌',
        industry: '家居定制',
        scenario: '线上获客',
        audience: '意向用户',
        evidence: [
          '第一次买不知道怎么选，怕踩雷。',
          '价格有点高，不确定值不值。',
          '咨询的时候没人理。'
        ]
      }
    });
    const issuePoolStructured = issuePoolResult.structuredContent || {};
    if (issuePoolStructured.status !== 'ok' ||
      !String(issuePoolStructured.assistantMessage || '').includes('## 问题优先级') ||
      !issuePoolStructured.data?.issues?.length) {
      throw new Error(`Expected issue pool result, got: ${JSON.stringify(issuePoolStructured)}`);
    }

    const deepDiveResult = await client.callTool({
      name: 'voc_problem_deep_dive_run',
      arguments: {
        issue: '怎么选',
        project: 'MCP示例品牌',
        industry: '家居定制',
        scenario: '线上获客',
        audience: '意向用户',
        evidence: ['第一次买不知道怎么选，怕踩雷。'],
        feedback: '老板不想做试用体验，更想先改评论区回复和案例展示'
      }
    });
    const deepDiveStructured = deepDiveResult.structuredContent || {};
    const deepDiveMessage = String(deepDiveStructured.assistantMessage || '');
    if (deepDiveStructured.status !== 'ok' ||
      !deepDiveMessage.includes('## 可执行解决动作') ||
      !deepDiveMessage.includes('## 优先级判断') ||
      !deepDiveStructured.summary?.memoryPath) {
      throw new Error(`Expected boss-oriented deep dive result, got: ${JSON.stringify(deepDiveStructured)}`);
    }
    if (!deepDiveStructured.data?.memory?.blockedActions?.includes('试用体验') ||
      !deepDiveStructured.data?.memory?.preferredActions?.includes('评论区回复')) {
      throw new Error('Expected deep dive MCP call to parse feedback into scoped memory');
    }
    if (!JSON.stringify(deepDiveStructured.nextActions || []).includes('live')) {
      throw new Error('Expected deep dive next actions to hand off to live collection instead of trapping the workflow');
    }

    const contentPlanResult = await client.callTool({
      name: 'voc_content_plan_run',
      arguments: {
        brand: 'MCP示例品牌',
        industry: '家居定制',
        issues: ['第一次买怕踩雷', '觉得价格贵', '怕质量不稳定']
      }
    });
    const contentPlanStructured = contentPlanResult.structuredContent || {};
    const contentPlanMessage = String(contentPlanStructured.assistantMessage || '');
    if (contentPlanStructured.status !== 'ok' ||
      !contentPlanMessage.includes('7 天 VOC 内容选题') ||
      !contentPlanMessage.includes('前 3 秒钩子') ||
      !contentPlanStructured.data?.plan?.length) {
      throw new Error(`Expected VOC content plan result, got: ${JSON.stringify(contentPlanStructured)}`);
    }

    const speakingScriptResult = await client.callTool({
      name: 'voc_speaking_script_run',
      arguments: {
        brand: 'MCP示例品牌',
        industry: '家居定制',
        topic: '第一次买怎么选不踩雷',
        userIssue: '第一次买怕选错',
        evidence: ['第一次买不知道怎么选，怕踩雷'],
        feedback: '开头更狠一点，老板视角，少讲概念，多给具体场景',
        memory: '../outputs/claude-code-xhs-mcp-smoke/voc-speaking-script-memory.json',
        finalize: true
      }
    });
    const speakingScriptStructured = speakingScriptResult.structuredContent || {};
    const speakingScriptMessage = String(speakingScriptStructured.assistantMessage || '');
    if (speakingScriptStructured.status !== 'ok' ||
      !speakingScriptMessage.includes('VOC 口播脚本共创') ||
      !speakingScriptMessage.includes('60 秒口播稿') ||
      !speakingScriptMessage.includes('30 秒压缩版') ||
      !speakingScriptStructured.data?.memory?.finalizedScripts?.length ||
      !speakingScriptStructured.data?.memory?.preferredStyles?.includes('老板视角')) {
      throw new Error(`Expected VOC speaking script result, got: ${JSON.stringify(speakingScriptStructured)}`);
    }

    const competitorMapResult = await client.callTool({
      name: 'voc_competitor_map_run',
      arguments: {
        brand: 'MCP示例品牌',
        city: '本地',
        category: '家居定制'
      }
    });
    const competitorMapStructured = competitorMapResult.structuredContent || {};
    const competitorMapMessage = String(competitorMapStructured.assistantMessage || '');
    if (competitorMapStructured.status !== 'ok' ||
      !competitorMapMessage.includes('竞品图谱') ||
      !competitorMapMessage.includes('错位竞争') ||
      !competitorMapStructured.data?.competitors?.length) {
      throw new Error(`Expected VOC competitor map result, got: ${JSON.stringify(competitorMapStructured)}`);
    }

    const businessWorkflowResult = await client.callTool({
      name: 'voc_business_workflow_run',
      arguments: {
        brand: 'MCP示例品牌',
        industry: '家居定制',
        platform: 'douyin',
        collectionMode: 'sample',
        keywords: ['家居定制怎么选', '第一次买怎么对比', '售后']
      }
    });
    const businessWorkflowStructured = businessWorkflowResult.structuredContent || {};
    const businessWorkflowMessage = String(businessWorkflowStructured.assistantMessage || '');
    if (businessWorkflowStructured.status !== 'ok' ||
      !businessWorkflowMessage.includes('VOC经营闭环') ||
      businessWorkflowStructured.summary?.workflowStage !== 'business_workflow_first_round') {
      throw new Error(`Expected VOC business workflow result, got: ${JSON.stringify(businessWorkflowStructured)}`);
    }

    for (const tool of ['voc_api_search', 'voc_api_doc', 'voc_api_call']) {
      if (!toolNames.includes(tool)) {
        throw new Error(`Expected catalog tool ${tool}, got: ${toolNames.join(', ')}`);
      }
    }

    const apiSearchResult = await client.callTool({
      name: 'voc_api_search',
      arguments: { platform: 'douyin' }
    });
    const apiSearchStructured = apiSearchResult.structuredContent || {};
    if (apiSearchStructured.status !== 'ok' || !apiSearchStructured.data?.endpoints?.length) {
      throw new Error(`Expected voc_api_search to list douyin endpoints, got: ${JSON.stringify(apiSearchStructured)}`);
    }

    const apiDocResult = await client.callTool({
      name: 'voc_api_doc',
      arguments: { id: 'douyin.search_general' }
    });
    const apiDocStructured = apiDocResult.structuredContent || {};
    if (apiDocStructured.status !== 'ok' ||
      !String(apiDocStructured.data?.endpoint?.proxyPath || '').includes('fetch_general_search_v2')) {
      throw new Error(`Expected voc_api_doc to return douyin search doc, got: ${JSON.stringify(apiDocStructured)}`);
    }

    const apiCallSentinel = 'sk-SMOKE_WRONG_TOKEN_TYPE';
    const apiCallResult = await client.callTool({
      name: 'voc_api_call',
      arguments: { id: 'douyin.search_general', params: { keyword: '律师' }, newapiToken: apiCallSentinel, vocToken: 'r:SMOKE_INVALID_SESSION_TOKEN' }
    });
    const apiCallStructured = apiCallResult.structuredContent || {};
    if (apiCallStructured.status !== 'needs_valid_token') {
      throw new Error(`Expected voc_api_call to map invalid sk-/r: tokens to needs_valid_token (token problem, not 余额不足), got: ${JSON.stringify(apiCallStructured)}`);
    }
    if (JSON.stringify(apiCallStructured).includes(apiCallSentinel) || JSON.stringify(apiCallStructured).includes('r:SMOKE_INVALID_SESSION_TOKEN')) {
      throw new Error('voc_api_call leaked the request-scoped token');
    }

    console.log(JSON.stringify({
      status: 'ok',
      tools: toolNames,
      assistantMessagePreview: assistantMessage.slice(0, 120),
      deepDivePreview: deepDiveMessage.slice(0, 120),
      contentPlanPreview: contentPlanMessage.slice(0, 120),
      speakingScriptPreview: speakingScriptMessage.slice(0, 120),
      competitorMapPreview: competitorMapMessage.slice(0, 120),
      businessWorkflowPreview: businessWorkflowMessage.slice(0, 120),
      preferenceMemoryApplied: Boolean(structured.summary && structured.summary.preferenceMemoryApplied),
      files: structured.files || []
    }, null, 2));
  } finally {
    await client.close();
  }
}

main().catch(error => {
  console.error(error);
  process.exit(1);
});