News Telegram Bot

A simple Telegram bot for news aggregation, filtering, and neutralization from various sources.

Features

• Multi-language support (English, Russian)
• News aggregation from multiple sources (RBC and others)
• News categorization (Economy, Politics, Society, etc.)
• Category-based news filtering
• Telegram interface
• Real-time news notifications
• News neutralization:
  • Bias removal
  • Emotional coloring reduction
  • Fact-focused presentation

Project Structure

bot/
├── locales/           # Localization files
│   ├── en.json       # English translations
│   └── ru.json       # Russian translations
├── rss/              # RSS parsers
│   ├── abstract.py   # Abstract RSS parser class
│   └── rbc.py        # RBC parser implementation
├── lm/               # Language models
├── controller.py     # Bot controller
├── service.py        # Business logic
├── repository.py     # Database operations
├── model.py          # Data models
├── strings.py        # String constants
└── database.py       # Database configuration

Project Components

Language Models (lm/)

• make_neutral.py - Transforms news text to neutral tone
• classify_news.py - Categorizes news articles

Installation and Deployment

1. Move bot/.env.example to .env and set the environment variables:

2. Run the docker compose:

docker-compose -f bot/docker-compose.yaml up -d

Localization

The bot supports multiple languages through JSON-based localization files located in the locales/ directory.

To add a new language:

1. Create <language-code>.json in locales/
2. Copy the structure from an existing language file
3. Translate all strings

Adding News Sources

To implement a new news source:

1. Create a new class in rss/
2. Inherit from AbstractRSSParser
3. Implement required methods
4. Add the source to strings.py
5. Update localization files