Automated Personalized Messaging System in Telegram

Our Solution

We developed a comprehensive Django-based solution that seamlessly integrates the Telegram Bot API with a powerful mailing system. The system architecture includes:

• An interactive Telegram bot that registers users in the database upon their first interaction.
• An automatic database cleaning system that checks user subscription status with every mailing and instantly removes those who have unsubscribed, keeping the database current and relevant.
• A high-performance mailing engine built on Celery and Redis, ensuring fast and reliable message delivery even to a large audience.
• A flexible message template system with support for HTML markup and personal variables (e.g., {first_name}), enabling the creation of personalized messages without any programming.

Results Achieved

• Automatic Database Quality Maintenance: The system self-cleans the database of inactive users, which increases the effectiveness of mailings and reduces costs.
• Reliability and Fault Tolerance: The use of Celery and Redis guarantees message delivery even under high load, while supervisorctl ensures uninterrupted bot operation.
• Ease of Management: An intuitive Django admin panel allows managers with no technical skills to create and send personalized mailings.
• Scalable-Ready Infrastructure: Containerization via Docker Compose and the configuration of Nginx with Cloudflare ensure easy deployment and high security.

Technology Stack

The project utilizes a robust stack designed specifically for high-throughput, asynchronous communication.

• The core is built on Python and Django, chosen for their rapid development capabilities and the powerful, built-in Django admin panel, which allows non-technical staff to manage the entire system effortlessly.
• The python-telegram-bot library provides a clean and efficient interface for interacting with the Telegram API, handling all real-time user interactions.
• Celery and Redis form the critical asynchronous backbone. Celery is tasked with managing the message queue for mass mailings, ensuring reliable, background processing, while Redis serves as both the message broker and a cache, enabling the high performance required for rapid delivery.
• The entire application is containerized using Docker Compose for simplified deployment and scalability. Nginx acts as a reverse proxy, and Cloudflare is configured to provide SSL/TLS termination and DDoS protection, securing all external communications.