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jimeng-ai-mcp

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火山引擎即梦AI多模态生成服务MCP工具

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"use strict"; var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { if (k2 === undefined) k2 = k; var desc = Object.getOwnPropertyDescriptor(m, k); if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) { desc = { enumerable: true, get: function() { return m[k]; } }; } Object.defineProperty(o, k2, desc); }) : (function(o, m, k, k2) { if (k2 === undefined) k2 = k; o[k2] = m[k]; })); var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) { Object.defineProperty(o, "default", { enumerable: true, value: v }); }) : function(o, v) { o["default"] = v; }); var __importStar = (this && this.__importStar) || (function () { var ownKeys = function(o) { ownKeys = Object.getOwnPropertyNames || function (o) { var ar = []; for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k; return ar; }; return ownKeys(o); }; return function (mod) { if (mod && mod.__esModule) return mod; var result = {}; if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== "default") __createBinding(result, mod, k[i]); __setModuleDefault(result, mod); return result; }; })(); Object.defineProperty(exports, "__esModule", { value: true }); const jimeng_client_1 = require("../src/jimeng-client"); const fs = __importStar(require("fs")); /** * 从.env文件加载环境变量 */ const loadEnv = (filePath = '.env') => { try { if (fs.existsSync(filePath)) { const envData = fs.readFileSync(filePath, 'utf8'); envData.split('\n').forEach(line => { const match = line.match(/^([^=]+)=(.*)$/); if (match) { process.env[match[1].trim()] = match[2].trim(); } }); } } catch (err) { console.error('无法加载.env文件:', err); } }; /** * 主函数 */ const main = async () => { try { // 加载环境变量 loadEnv(); // 获取任务ID参数 const taskId = process.argv[2]; if (!taskId) { console.error('错误: 缺少任务ID参数'); console.error('用法: npx ts-node examples/check-video-task.ts <任务ID>'); return; } // 获取API密钥 const accessKey = process.env.JIMENG_ACCESS_KEY; const secretKey = process.env.JIMENG_SECRET_KEY; if (!accessKey || !secretKey) { console.error('错误: 缺少API密钥。请设置JIMENG_ACCESS_KEY和JIMENG_SECRET_KEY环境变量。'); return; } // 创建客户端 const client = new jimeng_client_1.JimengClient({ accessKey, secretKey, debug: true // 打开调试模式 }); console.log('=== 即梦AI视频任务查询 ==='); console.log(`正在查询任务: ${taskId}`); // 获取任务结果 const resultResponse = await client.getVideoResult({ task_id: taskId }); // 显示任务状态 console.log('\n任务状态:', resultResponse.status || '未知'); if (resultResponse.status === "SUCCEED" && resultResponse.video_urls && resultResponse.video_urls.length > 0) { // 任务成功完成 console.log('\n✓ 视频生成成功!'); console.log('\n生成的视频链接:'); resultResponse.video_urls.forEach((url, index) => { console.log(`${index + 1}. ${url}`); }); } else if (resultResponse.status === "RUNNING") { // 任务仍在进行中 console.log('\n任务仍在处理中,请稍后再次查询'); console.log('重新检查命令: npx ts-node examples/check-video-task.ts ' + taskId); } else { // 任务失败或其他状态 console.error('\n视频生成未成功:', resultResponse.error); } } catch (error) { console.error('发生错误:', error); } }; // 运行主函数 main();