Forked from skyleebot by starryboi. Note: Please fork this project instead of using the bot, this is mainly for the use in the finf group.
A modular Telegram Python bot running on python3 with an sqlalchemy database.
Starting of as a simple group management bot with multiple admin features, it has evolved, becoming extremely modular and simple to use. Note that this project uses well-known Telegram-bot of it's time @BanhammerMarie_bot from Paul Larson as it's base. This bot is now used mainly for the finf group.
Can be found on Telegram as Perry.
Join the news channel if you just want to stay in the loop about new features or announcements.
Skittbot for Stickers module and memes in extras module.
1maverick1 for many stuffs.
AyraHikari for weather modules and some other stuffs.
RealAkito for reverse search modules.
MrYacha for connections module.
ATechnoHazard for many stuffs.
corsicanu and nunopenim for android modules.
starryboi for packing it all into Skylee and python-markdown2 fork.
Any other missing credits can be seen in commits!
Once you've setup your database and your configuration (see below) is complete, simply run:
python3 -m perry
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 in v3.6 by default.
You may be using a server where sudo and superuser rights are not permitted by the admins and can only access the server using ssh. If this is the case, you may want to use tmux, so that when you disconnect from your ssh session the bot will be kept alive.
Quick example:
-
Start a new session:
tmux new-session -s perrybot
-
Move into Perry/perry and start the bot:
cd Perry/perry && python3 -m perry
-
Detach session:
Ctrl+b+d
Now Perry should be running in the background within a tmux session.
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 perry
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 perry.sample_config import Config
class Development(Config):
OWNER_ID = 894380120 # your telegram ID; easiest way is to search and start 'userinfobot' from Telegram directory
OWNER_USERNAME = "austinsama" # your telegram username; if you don't have one, set one
API_KEY = "your bot api key" # bot api token, as provided by the botfather (yes, daddy)
SQLALCHEMY_DATABASE_URI = 'postgresql://username:password@localhost:5432/database' # sample db credentials
MESSAGE_DUMP = -1234567890 # group-chat/channel id; dumps logs as messages in dedicated room
USE_MESSAGE_DUMP = True # set true/false to log or not
SUDO_USERS = [13130992, 29831388] # List of id's for users which have sudo access to the bot.
LOAD = [] # choose which modules to load
NO_LOAD = [] # choose which modules to exclude
TELETHON_HASH = "None" # api_hash from my.telegram.org
TELETHON_ID = "None" # api_id from my.telegram.org
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 am currently using ElephantSQL, but Postgresql is the recommended choice for optimal compatibility if you have sudo/superuser rights.
For those who do not have access to sudo and superuser rights of the server you want to host Perry on, ElephantSQL is a good enough alternative with a limited free plan. In comparison to Postgresql, ElephantSQL hosts the database on a different server, whereas by using Postgresql you are directly creating and using the database in the host server as a system user. This method requires less steps than the Postgres method, but you are putting your trust into the service provider (ElephantSQL - services currently available are: Google Cloud, AWS, Azure. Last checked: September 12th 2020).
-
Sign up for an account.
-
Choose your plan. You will get options to choose which region and which company to host the database server on.
-
Create your instance.
-
Copy the URL and paste it where
SQLALCHEMY_DATABASE_URI =
lies in yourconfig.py
file.
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:
-
Debian/Ubuntu:
sudo apt-get update && sudo apt-get install postgresql
-
Arch Linux:
sudo pacman -Syu && sudo pacman -S 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.
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 Perry 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.