QuotLy Bot

A Telegram bot that creates beautiful quote stickers from chat messages.

Features 🚀

Core Quote Generation

• Beautiful Quote Stickers: Convert messages into stylish quote stickers
• Multiple Formats: WebP stickers, PNG images, or document files
• Customizable Design: Custom background colors, emoji brands, and scaling
• Privacy Protection: Optional user anonymization

Advanced Features

• High Performance: Cluster architecture with load balancing
• Rate Limiting: Smart rate limiting to prevent spam
• Health Monitoring: Built-in health checks and monitoring
• Business API: Support for Telegram Business connections
• Inline Queries: Works in inline mode
• Statistics: Usage tracking and analytics

Installation 📦

Prerequisites

• Node.js 22+
• MongoDB database
• Redis database
• quote-api service
• Telegram API ID and hash for TDLib

Quick Start

1. Clone the repository

   git clone https://github.com/LyoSU/quote-bot.git
   cd quote-bot

2. Install dependencies

   npm install

3. Set up environment variables

   cp .env.example .env
   # Edit .env with your configuration

4. Set up TDLib

   • The bot uses the prebuilt-tdlib npm package by default.
   • Set TELEGRAM_API_ID and TELEGRAM_API_HASH in your environment.

5. Start the bot

   npm start

Railway Deployment 🚆

This repository includes railway.json, .env.example, and a single-container starter for Railway.

1. Create or connect this GitHub repository in Railway.
2. Add MongoDB, then add the Redis variables from .env.example.
3. Add all required variables from .env.example in the Railway service variables tab.
4. Deploy the quote-api service separately and set QUOTE_API_URI to that service URL.
5. Deploy. Railway will build with the Dockerfile, run npm start, and check /health.

npm start runs one update collector plus MAX_WORKERS worker processes. Use npm run start:collector or npm run start:worker only when you intentionally want to run one role by itself.

Docker Installation 🐳

1. Pull repositories

   git clone https://github.com/LyoSU/quote-bot.git
   git clone https://github.com/LyoSU/quote-api.git

2. Configure environment

   • Edit .env files in both repositories
   • Set up your bot token, database, and API keys

3. Create Docker network

   docker network create quotly

4. Set up TDLib

   • Download TDLib binary for Linux
   • Place it at helpers/tdlib/data/libtdjson/libtdjson.so
   • Recommended: Use prebuilt-tdlib or tdlib.native builder

5. Start services

   # Start quote-botcd quote-bot
   docker compose --profile dev up -d
   # Start quote-apicd ../quote-api
   docker compose up -d

Configuration ⚙️

Environment Variables

Variable	Description	Required
BOT_TOKEN	Telegram bot token from @BotFather	Yes
MONGODB_URI	MongoDB connection string	Yes
QUOTE_API_URI	Quote generation API endpoint	Yes
REDIS_HOST	Redis host, for example redis-10702.c261.us-east-1-4.ec2.cloud.redislabs.com	Yes
REDIS_PORT	Redis port, for example 10702	Yes
REDIS_USERNAME	Redis username, usually default for Redis Cloud	Yes
REDIS_PASSWORD	Redis password from Redis Cloud	Yes
TELEGRAM_API_ID	Telegram API ID for TDLib	Yes
TELEGRAM_API_HASH	Telegram API hash for TDLib	Yes

Database Setup

• MongoDB is required for storing user data, quotes, and statistics
• The bot will automatically create necessary collections and indexes

Usage 📖

Basic Commands

• /q - Create a quote from replied message
• /q <number> - Create quote from multiple messages
• /qrand - Random quote from chat history
• /qtop - Top-rated quotes
• /help - Show help message

Quote Options

• /q p - Generate as PNG image
• /q i - Generate as image file
• /q r - Include reply context
• /q rate - Enable rating buttons
• /q <color> - Set custom background color
• /q s1.5 - Scale factor (1.5x larger)
• /q c - Crop image content

Admin Commands

• /qcolor <color> - Set default background color
• /qemoji - Change emoji brand
• /qrate - Enable/disable rating system
• /privacy - Toggle privacy mode
• /lang - Change language

Architecture 🏗️

The bot uses a sophisticated cluster architecture:

Master-Worker Pattern

• Master Process: Handles load balancing, queue management, and TDLib operations
• Worker Processes: Process individual Telegram updates
• Queue Manager: Manages update queues with priority handling

Key Components

• Quote Generation: External API service for image generation
• Database Layer: MongoDB with Mongoose ODM
• Redis Queue: Collector distributes Telegram updates to worker queues
• Railway Starter: railway-start.js runs collector, workers, and /health

Development 👨‍💻

Running in Development

npm start

Code Quality

# Lint code
npx eslint .# Check for issues
npm audit

Adding Features

1. Create handlers in handlers/ directory
2. Add database models in database/models/
3. Implement middleware in middlewares/
4. Add utilities in utils/

Project Structure

quote-bot/
├── handlers/ # Command and message handlers
├── database/ # Database models and connection
├── middlewares/ # Bot middleware
├── helpers/ # Utility functions and TDLib
├── locales/ # Internationalization files
├── utils/ # General utilities
├── updates-collector.js # Telegram update collector
├── updates-worker.js # Update processor worker
├── railway-start.js # Railway single-container process manager
└── handler.js # Main bot composer

API Integration 🔗

The bot requires the quote-api service for quote generation. This service handles:

• Quote image rendering
• Custom styling and themes
• Multiple output formats
• Image processing and optimization

Contributing 🤝

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request

License 📄

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments 🙏

• Telegraf - Modern Telegram Bot Framework
• TDLib - Telegram Database Library

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Made by LyoSU