A modular telegram Python bot running on python3 with an sqlalchemy database.
Originally a simple group management bot with multiple admin features, it has evolved into becoming a basis for modular bots aiming to provide simple plugin expansion via a simple drag and drop.
For questions regarding creating your own bot, please head to this chat where you'll find a group of volunteers to help. We'll also help when a database schema changes, and some table column needs to be modified/added (this info can also be found in the commit messages)
Join the news channel if you just want to stay in the loop about new features or announcements.
Our bots and we can also be found moderating the bot support group aimed at providing help setting up our bots in your chats (not for bot clones). Feel free to join to report bugs, and stay in the loop on the status of the bot development.
Note to maintainers that all schema changes will be found in the commit messages, and its their responsibility to read any new commits.
Once you've setup your database and your configuration (see below) is complete, simply run:
python3 -m tg_bot
Please make sure to use python3.6, as I cannot guarantee everything will work as expected on older python versions! This is because markdown parsing is done by iterating through a dict, which are ordered by default in 3.6.
There are two possible ways of configuring your bot: a config.py file, or ENV variables.
The prefered version is to use a config.py
file, as it makes it easier to see all your settings grouped together.
This file should be placed in your tg_bot
folder, alongside the __main__.py
file .
This is where your bot token will be loaded from, as well as your database URI (if you're using a database), and most of
your other settings.
It is recommended to import sample_config and extend the Config class, as this will ensure your config contains all defaults set in the sample_config, hence making it easier to upgrade.
An example config.py
file could be:
from tg_bot.sample_config import Config
class Development(Config):
OWNER_ID = 254318997 # my telegram ID
OWNER_USERNAME = "SonOfLars" # my telegram username
API_KEY = "your bot api key" # my api key, as provided by the botfather
SQLALCHEMY_DATABASE_URI = 'postgresql://username:password@localhost:5432/database' # sample db credentials
MESSAGE_DUMP = '-1234567890' # some group chat that your bot is a member of
USE_MESSAGE_DUMP = True
SUDO_USERS = [18673980, 83489514] # List of id's for users which have sudo access to the bot.
LOAD = []
NO_LOAD = ['translation']
If you can't have a config.py file (EG on heroku), it is also possible to use environment variables. The following env variables are supported:
-
ENV
: Setting this to ANYTHING will enable env variables -
TOKEN
: Your bot token, as a string. -
OWNER_ID
: An integer of consisting of your owner ID -
OWNER_USERNAME
: Your username -
DATABASE_URL
: Your database URL -
MESSAGE_DUMP
: optional: a chat where your replied saved messages are stored, to stop people deleting their old -
LOAD
: Space separated list of modules you would like to load -
NO_LOAD
: Space separated list of modules you would like NOT to load -
WEBHOOK
: Setting this to ANYTHING will enable webhooks when in env mode messages -
URL
: The URL your webhook should connect to (only needed for webhook mode) -
SUDO_USERS
: A space separated list of user_ids which should be considered sudo users -
SUPPORT_USERS
: A space separated list of user_ids which should be considered support users (can gban/ungban, nothing else) -
WHITELIST_USERS
: A space separated list of user_ids which should be considered whitelisted - they can't be banned. -
DONATION_LINK
: Optional: link where you would like to receive donations. -
CERT_PATH
: Path to your webhook certificate -
PORT
: Port to use for your webhooks -
DEL_CMDS
: Whether to delete commands from users which don't have rights to use that command -
STRICT_GBAN
: Enforce gbans across new groups as well as old groups. When a gbanned user talks, he will be banned. -
WORKERS
: Number of threads to use. 8 is the recommended (and default) amount, but your experience may vary. Note that going crazy with more threads wont necessarily speed up your bot, given the large amount of sql data accesses, and the way python asynchronous calls work. -
BAN_STICKER
: Which sticker to use when banning people. -
ALLOW_EXCL
: Whether to allow using exclamation marks ! for commands as well as /.
Install the necessary python dependencies by moving to the project directory and running:
pip3 install -r requirements.txt
.
This will install all necessary python packages.
If you wish to use a database-dependent module (eg: locks, notes, userinfo, users, filters, welcomes), you'll need to have a database installed on your system. I use postgres, so I recommend using it for optimal compatibility.
In the case of postgres, this is how you would set up a the database on a debian/ubuntu system. Other distributions may vary.
- install postgresql:
sudo apt-get update && sudo apt-get install postgresql
- change to the postgres user:
sudo su - postgres
- create a new database user (change YOUR_USER appropriately):
createuser -P -s -e YOUR_USER
This will be followed by you needing to input your password.
- create a new database table:
createdb -O YOUR_USER YOUR_DB_NAME
Change YOUR_USER and YOUR_DB_NAME appropriately.
- finally:
psql YOUR_DB_NAME -h YOUR_HOST YOUR_USER
This will allow you to connect to your database via your terminal. By default, YOUR_HOST should be 0.0.0.0:5432.
You should now be able to build your database URI. This will be:
sqldbtype://username:pw@hostname:port/db_name
Replace sqldbtype with whichever db youre using (eg postgres, mysql, sqllite, etc) repeat for your username, password, hostname (localhost?), port (5432?), and db name.
Alternatively, you can also use docker to start the bot. It comes with everything needed to run the bot so the setup is simpler.
You should change database URI in config.py
to
postgresql://postgres:changethis@tgbot_db:5432/tgbot
It is highly recommended to change the password to something else in docker-compose.yml
and
update it accordingly in config.py
.
After configuration is done, build the docker image:
docker compose build
Then, run the bot with
docker compose up
Incase you've changed any files, you'll need to rebuild the image. In some cases where rebuild may not work, try removing the image first, then build it again.
docker compose rm && docker compose build
If you want to keep the bot running in the background, simply pass the --detach
flag.
docker compose up --detach
The module load order can be changed via the LOAD
and NO_LOAD
configuration settings.
These should both represent lists.
If LOAD
is an empty list, all modules in modules/
will be selected for loading by default.
If NO_LOAD
is not present, or is an empty list, all modules selected for loading will be loaded.
If a module is in both LOAD
and NO_LOAD
, the module will not be loaded - NO_LOAD
takes priority.
Creating a module has been simplified as much as possible - but do not hesitate to suggest further simplification.
All that is needed is that your .py file be in the modules folder.
To add commands, make sure to import the dispatcher via
from tg_bot import dispatcher
.
You can then add commands using the usual
dispatcher.add_handler()
.
Assigning the __help__
variable to a string describing this modules' available
commands will allow the bot to load it and add the documentation for
your module to the /help
command. Setting the __mod_name__
variable will also allow you to use a nicer, user
friendly name for a module.
The __migrate__()
function is used for migrating chats - when a chat is upgraded to a supergroup, the ID changes, so
it is necessary to migrate it in the db.
The __stats__()
function is for retrieving module statistics, eg number of users, number of chats. This is accessed
through the /stats
command, which is only available to the bot owner.