Maestro CRM Bot — Telegram Integration with KeyCRM
**Status:** Production-ready | **Type:** Backend + Bot + Web Panel | **Team:** Solo
Full-featured web application implementing Telegram bot integration with KeyCRM order management system. Customers can check balance, view orders, and receive notifications directly in Telegram.
## Core Features
**Telegram Bot (Aiogram 3.22)**
- Automatic authorization via phone number
- Real-time balance checking
- Order history with pagination
- Smart status change notifications
- Interactive menus via Telegram buttons
**Web Admin Interface**
- Django Admin Panel for user management
- User activity analytics
- Balance calculation configuration
- KeyCRM synchronization monitoring
**Automation (Celery + Redis)**
- Periodic data synchronization (every 5 minutes)
- Background notification processing
- Celery Beat scheduler for schedule management
**Security**
- Two-step phone authentication
- HTTPS/SSL for all requests
- Webhook token protection
- Environment-based configuration
## Technology Stack
**Backend:** Django 5.1.14 | Python 3.13 | PostgreSQL 16 | Redis 7
**Bot & Async:** Aiogram 3.22 | asyncio/uvloop | httpx/aiohttp
**Task Queue:** Celery 5.5.3 | Celery Beat 2.8.1
**DevOps:** Docker | Docker Compose | Nginx | Gunicorn/Uvicorn
**Quality:** Black | Flake8 | mypy | pytest (104 dependencies)
## Architecture
```
bot/ → Telegram event handlers
keycrm/ → REST API KeyCRM integration
webhook/ → Incoming event processing
config/ → Django config (local/production)
docker-compose → Orchestration (web, bot, celery, db, redis, nginx)
```
## Key Capabilities
1. **Real-time Synchronization** — REST API + Webhooks + Redis caching
2. **Scalability** — async/await + Celery workers + microservice architecture
3. **Reliability** — Health checks + structured logging + error tracking
4. **Production-ready** — Docker/Compose + Nginx + SSL + migrations + static files
## Deployment
**Local:**
```bash
source venv/bin/activate && pip install -r requirements.txt
python manage.py migrate && ./run_local.sh
```
**Production (Docker):**
```bash
docker-compose up -d && docker-compose exec web python manage.py migrate
docker-compose exec web python manage.py collectstatic
```
**Services:** db (PostgreSQL 16), redis (Redis 7), web (Gunicorn), bot (Aiogram), celery, celery-beat, nginx
## Metrics
| Metric | Value |
|--------|-------|
| Lines of Code | ~3000+ |
| Django Apps | 3 (bot, keycrm, webhook) |
| API Endpoints | 15+ |
| Tests/Coverage | 20+ tests / 65%+ |
| Active Users | 100+ |
| Daily Sync | 50+ orders |
| API Response | < 200ms |
| Uptime | 99.9%+ |
## Design Patterns
MVC architecture | Factory Pattern | Observer Pattern | Singleton | Repository Pattern | Middleware logging
## Skills Demonstrated
**Backend:** Django 5, PostgreSQL, REST API, async/await, Celery, distributed systems
**Bot:** Telegram Bot API, interactive UI, state management
**DevOps:** Docker, Docker Compose, Nginx, SSL/TLS, health checks, production deployment
**Engineering:** Architectural design, Clean Code, Unit/Integration tests, Git workflows
## Requirements
- Docker & Docker Compose
- Python 3.13+ (local development)
- 2GB RAM, 5GB disk space
**Variables:** TELEGRAM_TOKEN, KEYCRM_API_KEY, DB_PASSWORD, DJANGO_SECRET_KEY, DEBUG=False
## Results
✓ Production-ready application ✓ 100+ active users ✓ Automatic synchronization ✓ < 200ms API response ✓ 99.9%+ uptime ✓ Horizontal scaling
Full-featured web application implementing Telegram bot integration with KeyCRM order management system. Customers can check balance, view orders, and receive notifications directly in Telegram.
## Core Features
**Telegram Bot (Aiogram 3.22)**
- Automatic authorization via phone number
- Real-time balance checking
- Order history with pagination
- Smart status change notifications
- Interactive menus via Telegram buttons
**Web Admin Interface**
- Django Admin Panel for user management
- User activity analytics
- Balance calculation configuration
- KeyCRM synchronization monitoring
**Automation (Celery + Redis)**
- Periodic data synchronization (every 5 minutes)
- Background notification processing
- Celery Beat scheduler for schedule management
**Security**
- Two-step phone authentication
- HTTPS/SSL for all requests
- Webhook token protection
- Environment-based configuration
## Technology Stack
**Backend:** Django 5.1.14 | Python 3.13 | PostgreSQL 16 | Redis 7
**Bot & Async:** Aiogram 3.22 | asyncio/uvloop | httpx/aiohttp
**Task Queue:** Celery 5.5.3 | Celery Beat 2.8.1
**DevOps:** Docker | Docker Compose | Nginx | Gunicorn/Uvicorn
**Quality:** Black | Flake8 | mypy | pytest (104 dependencies)
## Architecture
```
bot/ → Telegram event handlers
keycrm/ → REST API KeyCRM integration
webhook/ → Incoming event processing
config/ → Django config (local/production)
docker-compose → Orchestration (web, bot, celery, db, redis, nginx)
```
## Key Capabilities
1. **Real-time Synchronization** — REST API + Webhooks + Redis caching
2. **Scalability** — async/await + Celery workers + microservice architecture
3. **Reliability** — Health checks + structured logging + error tracking
4. **Production-ready** — Docker/Compose + Nginx + SSL + migrations + static files
## Deployment
**Local:**
```bash
source venv/bin/activate && pip install -r requirements.txt
python manage.py migrate && ./run_local.sh
```
**Production (Docker):**
```bash
docker-compose up -d && docker-compose exec web python manage.py migrate
docker-compose exec web python manage.py collectstatic
```
**Services:** db (PostgreSQL 16), redis (Redis 7), web (Gunicorn), bot (Aiogram), celery, celery-beat, nginx
## Metrics
| Metric | Value |
|--------|-------|
| Lines of Code | ~3000+ |
| Django Apps | 3 (bot, keycrm, webhook) |
| API Endpoints | 15+ |
| Tests/Coverage | 20+ tests / 65%+ |
| Active Users | 100+ |
| Daily Sync | 50+ orders |
| API Response | < 200ms |
| Uptime | 99.9%+ |
## Design Patterns
MVC architecture | Factory Pattern | Observer Pattern | Singleton | Repository Pattern | Middleware logging
## Skills Demonstrated
**Backend:** Django 5, PostgreSQL, REST API, async/await, Celery, distributed systems
**Bot:** Telegram Bot API, interactive UI, state management
**DevOps:** Docker, Docker Compose, Nginx, SSL/TLS, health checks, production deployment
**Engineering:** Architectural design, Clean Code, Unit/Integration tests, Git workflows
## Requirements
- Docker & Docker Compose
- Python 3.13+ (local development)
- 2GB RAM, 5GB disk space
**Variables:** TELEGRAM_TOKEN, KEYCRM_API_KEY, DB_PASSWORD, DJANGO_SECRET_KEY, DEBUG=False
## Results
✓ Production-ready application ✓ 100+ active users ✓ Automatic synchronization ✓ < 200ms API response ✓ 99.9%+ uptime ✓ Horizontal scaling