核心挑战:
当企业拥有数千个员工号时,如何高效分配任务、监控在线状态并防止内存溢出?这需要一套精密的调度逻辑。
实战代码示例(Node.js):
以下代码展示了如何使用类(Class)封装 QiweAPI 实例,并实现一个基础的负载均衡调度器。
const axios = require('axios');
class QiweInstance {
constructor(instanceId, apiKey) {
this.instanceId = instanceId;
this.apiKey = apiKey;
this.baseUrl = "https://api.qiweapi.com/v1";
this.isOnline = false;
}
// 初始化检查在线状态
async checkStatus() {
try {
const res = await axios.post(`${this.baseUrl}/status`, {
instanceId: this.instanceId,
apiKey: this.apiKey
});
this.isOnline = res.data.success && res.data.status === 'online';
return this.isOnline;
} catch (err) {
console.error(`实例 ${this.instanceId} 状态检查失败`);
return false;
}
}
// 发送消息方法封装
async sendText(toUser, content) {
if (!this.isOnline) throw new Error("实例不在线");
return await axios.post(`${this.baseUrl}/sendText`, {
instanceId: this.instanceId,
apiKey: this.apiKey,
toUser,
content
});
}
}
// 调度器:管理多个实例
class QiweScheduler {
constructor() {
this.instances = [];
}
addInstance(id, key) {
this.instances.push(new QiweInstance(id, key));
}
// 轮询算法:获取下一个可用的在线实例
async getAvailableInstance() {
for (let instance of this.instances) {
if (await instance.checkStatus()) {
return instance;
}
}
return null;
}
// 批量群发任务
async broadcast(userList, text) {
for (let user of userList) {
const runner = await this.getAvailableInstance();
if (runner) {
await runner.sendText(user, text);
// 关键点:随机延迟 3-5 秒,模拟真人行为,绕过风控
await new Promise(resolve => setTimeout(resolve, Math.random() * 2000 + 3000));
}
}
}
}