Sexy Django + python-telegram-bot + Celery + Redis + Postgres + Dokku + GitHub Actions template. Production-ready Telegram bot with database, admin panel and a bunch of useful built-in methods.
Check the example bot that uses the code from Main branch: t.me/djangotelegrambot
- Database: Postgres, Sqlite3, MySQL - you decide!
- Admin panel (thanks to Django)
- Background jobs using Celery
- Production-ready deployment using Dokku
- Telegram API usage in pooling or webhook mode
- Reverse geocode of user via ArcGis
- Export all users in
.csv
- Native telegram commands in menu
- In order to edit or delete these commands you'll need to use
set_my_commands
bot's method just like in tgbot.dispatcher.setup_my_commands
- In order to edit or delete these commands you'll need to use
Built-in Telegram bot methods:
/broadcast
— send message to all users (admin command)/export_users
— bot sends you info about your users in .csv file (admin command)/stats
— show basic bot stats/ask_for_location
— log user location when received and reverse geocode it to get country, city, etc.
Check out our Wiki for more info.
The fastest way to run the bot is to run it in pooling mode using SQLite database without all Celery workers for background jobs. This should be enough for quickstart:
git clone https://github.com/ohld/django-telegram-bot
cd django-telegram-bot
Create virtual environment (optional)
python3 -m venv dtb_venv
source dtb_venv/bin/activate
Install all requirements:
pip install -r requirements.txt
Create .env
file in root directory and copy-paste this:
DJANGO_DEBUG=True
DATABASE_URL=sqlite:///db.sqlite3
TELEGRAM_TOKEN=<ENTER YOUR TELEGRAM TOKEN HERE>
Run migrations to setup SQLite database:
python manage.py migrate
Create superuser to get access to admin panel:
python manage.py createsuperuser
Run bot in pooling mode:
python run_pooling.py
If you want to open Django admin panel which will be located on http://localhost:8000/tgadmin/:
python manage.py runserver
If you like docker-compose you can check full instructions in our Wiki.
Read Wiki page on how to deploy production-ready scalable Telegram bot using Dokku.