Torrent Bot

ATTENTION: This code is a prototype with minimal functionality.

A Telegram bot for managing and interacting with rutracker.org dump from 2014 year. This bot is built using Python. Note, that using information from rutracker.org can be illegal in some countries and don't use it for outlaw activity. This is educatable project, which can be used as prototype of something better.

For this project was user rutracker dump of torrents:

• https://habr.com/ru/articles/357530/
• https://rutracker.org/forum/viewtopic.php?t=4824458

PS: This is my very old pet project, which can be better. But it is not my primary idea and current functionality in not full. If you have any experience in aiogram and telegram bots - you are welcome for made pull requests.

Features

• Search: Search torrent information by query

Setup

Prerequisites

• Python 3.8+
• PostgreSQL
• Docker (optional, for containerized deployment)

Installation

1. Clone the repository:

   git clone https://github.com/bazhil/torrent_bot.git
   cd torrent_bot

2. Create .env

   mv .env.example .env

3. Fill .env:

   TELEGRAM_TOKEN=
   
   POSTGRES_USER=
   POSTGRES_PASSWORD=
   POSTGRES_HOST=
   POSTGRES_PORT=
   POSTGRES_DB=
   
   TORRENT_FOLDER_PATH=

4. Set up a virtual environment and install dependencies:

   python -m venv .venv
   source .venv/bin/activate
   pip install -r requirements.txt

5. Configure the database:

   • Download rutracker dump, set path of folder in .env TORRENT_FOLDER_PATH=<path>
   • Run the database setup script:

     python -m bot/async_filling_postgres.py

Running the Bot

To run the bot, execute one of the following commands based on the library you want to use:

• For python-telegram-bot:

  cd bot
  python -m main

Docker Deployment

ATTENTION: current docker setup is not tested correctly.

To deploy the bot using Docker:

1. Build the Docker image:

   docker-compose build

2. Start the container:

   docker-compose up

Logs

Logs are stored in the torrent_importer.log for import-related logs.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

License

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