A simple cookiecutter to create Python Telegram bots, wrapped with Django.
- Django app with
dev
andprod
environments. - Model to store bot users data.
- Command to run the bot.
- Admin web interface to see the bot data.
- Authentication mechanism.
- Some example callbacks.
- Small engine to wrap the bot callbacks.
- Ready for deployment using Docker via
docker-compose
.
Install the latest Cookiecutter if you haven't installed it yet:
pip install -U cookiecutter
Create your bot using this cookiecutter:
cookiecutter gh:lugodev/ptb-django-cookiecutter
This will clone the cookiecutter and launch a wizard to help you customize your new bot.
Once you have generated your new bot, you will get this folders structure:
src/bot
: The bot source code.core
:authentication.py
: The authentication mechanism.callbacks.py
: Your callbacks here.commands.py
: Your commands here.constants.py
: Your conversation states, defined as constants.conversation.py
: Your conversation callbacks.engine.py
: The bot engine.messages.py
: The message filter callbacks.models.py
: Your bot models, defined as Django model classes.renderers.py
: Methods to render your messages.
You have two primary options to install de bot Python dependencies: pip or Poetry. You can also use pipenv, virtualenvwrapper or another package managers. We recommend Poetry.
-
Install dependencies using Poetry:
curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python - cd src/bot poetry install
✨ Tip (optional): Create these aliases on on your .bashrc
or .zshrc
, like this
```
alias poetry="python3 -m poetry"
alias django="poetry run ./dev.py"
alias djr="django runserver"
alias djm="django makemigrations && django migrate"
alias djmr="djm && djr"
```
-
Or install your dependencies using pip.
pip3 install -r requirements.txt
Place your env vars to the .env
file (never push this file to the repo):
SECRET_KEY=your django random secret key
TELEGRAM_TOKEN=your bot token
This cookiecutter uses the Django ORM. First you must to make the model's migrations and then migrate them to database:
python3 src/bot/dev.py makemigrations
python3 src/bot/dev.py migrate
Start the bot (using the previously suggested alias, optional):
django runbot
Or using Poetry:
python3 -m poetry run src/bot/dev.py runbot
Or using Python:
python3 src/bot/dev.py runbot
Clone your repo to the server, and create this folder structure:
codebase
: The repo itself, the source code.storage
: The place to store the DB and other persistant files.
Create and fill the ./codebase/.env
file with the environment vars.
Then, deploy, using docker-compose
:
cd codebase
docker-compose up --build -d
None yet. Want to be the first? Submit your bot if it's open source.
Thanks goes to these wonderful people (emoji key):
Carlos Lugones |
Reinier Hernández |
This project follows the all-contributors specification. Contributions of any kind welcome!