jimeng-ai-mcp
Version:
火山引擎即梦AI多模态生成服务MCP工具
116 lines (115 loc) • 4.25 kB
JavaScript
;
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();