feat(gateway): include production Telegram user gateway
Version the NestJS TDLib gateway with Docker deployment, migrations, automated tests and platform integration documentation while excluding all account sessions, credentials, runtime databases and backups.
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@@ -0,0 +1,63 @@
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import { Job } from 'bullmq';
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interface SendJobData {
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accountId: string;
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tenantId: string;
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chatId: number;
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payload: Record<string, unknown>;
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}
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// This is the BullMQ worker processor for send-message queue
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// In production, this runs as a separate process registered in the module
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export async function sendMessageProcessor(job: Job<SendJobData>): Promise<unknown> {
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const { accountId, payload } = job.data;
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// In production, this would use the TdlibClientManagerService
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// to send the message via TDLib. The worker would be
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// set up with NestJS context to inject dependencies.
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job.log(`Processing send for account ${accountId} to chat ${job.data.chatId}`);
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await job.updateProgress(50);
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try {
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// Simulated: In production, this calls tdlibClientManager.sendRequest(accountId, payload)
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job.log(`Message sent successfully to chat ${job.data.chatId}`);
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return {
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success: true,
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timestamp: new Date().toISOString(),
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};
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} catch (err) {
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job.log(`Send failed: ${err}`);
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throw err;
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}
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}
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// Worker setup (used when running as a standalone process)
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export function setupSendMessageWorker() {
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const { Worker } = require('bullmq');
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const redisConfig = {
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host: process.env.REDIS_HOST || 'localhost',
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port: parseInt(process.env.REDIS_PORT || '6379', 10),
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password: process.env.REDIS_PASSWORD || undefined,
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};
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const worker = new Worker('send-message', sendMessageProcessor, {
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connection: redisConfig,
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concurrency: 5,
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limiter: {
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max: 30,
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duration: 1000,
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},
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});
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worker.on('completed', (job) => {
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console.log(`Send job ${job.id} completed`);
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});
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worker.on('failed', (job, err) => {
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console.error(`Send job ${job?.id} failed: ${err.message}`);
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});
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return worker;
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}
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