A modular telegram Python bot running on python3 with an sqlalchemy database. Concept taken from Saitama Robot
Originally a marie fork - Jarvis has evolved further and was built to be more useful to Automate Group
Can be found on telegram as Jarvis.
The Support group can be reached out to at Jarvis Support, where you can ask for help setting up your bot, discover/request new features, report bugs, and stay in the loop whenever a new update is available.
Note :- This Code Should Not Be Private According to License If U Want To Make Your Own Bot Fork and Create a File With Name Of config.py Further Instructions Are Given Below
Click to expand!!
Note: This instruction set is just a copy paste from Marie, note that Jarvis Support aims to handle support for @Jarvisbot and now how to setup your own fork, if you find this bit confusing/tough to understand then we recommend you ask a dev, kindly avoid asking how to setup the bot instance in the support chat, it aims to help our own instance of the 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 jarvis 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 jarvis.sample_config import Config
class Development(Config):
OWNER_ID = 254318997 # your telegram ID
OWNER_USERNAME = "SonOfLars" # your telegram username
API_KEY = "your bot api key" # your 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.
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 jarvis 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.
Once you've setup your database and your configuration is complete, simply run the bat file(if on windows) or run (linux):
python3 -m jarvis
You can use nssm to install the bot as service on windows and set it to restart on /gitpull Make sure to edit the start and restart bats to your needs. Note: the restart bat requires that User account control be disabled.
For queries or any issues regarding the bot please open an issue ticket or visit us at Jarvis Support
The bot is based of on the original work done by PaulSonOfLars All original credits go to Paul and his dedication, Without his efforts, this fork would not have been possible!
Also, missing proper credit for blacklistusers taken from TheRealPhoenixBot (will add it later, this note says unless its done)
Special Thanks To Kigyo Bot For Their SpamProtection Module and ReadMe
Any other authorship/credits can be seen through the commits.
Should any be missing kindly let us know at Jarvis Support or simply submit a pull request on the readme.