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FPIndiaBot

A Telegram bot for the Functional Programming India community.

Telegram group - https://t.me/FPNCR Website - https://functionalprogramming.in

Originally forked from TLG_JoinCaptchaBot

Original documentation continues below

Installation

Note: Use Python 3.6 or above to install and run the Bot, previous version are unsupported.

To generate Captchas, the Bot uses multicolor_captcha_generator library, wich uses Pillow to generate the images.

  1. Install Pillow prerequisites:

    sudo apt install -y libtiff5-dev libjpeg62-turbo-dev zlib1g-dev libfreetype6-dev liblcms2-dev libwebp-dev tcl8.6-dev tk8.6-dev python-tk
  2. Get the project and install JoinCaptchaBot requirements:

    git clone https://github.com/J-Rios/TLG_JoinCaptchaBot
    pip install -r TLG_JoinCaptchaBot/requirements.txt
  3. Go to project sources and give execution permission to usage scripts:

    cd TLG_JoinCaptchaBot/sources
    chmod  x run status kill
  4. Specify Telegram Bot account Token (get it from @BotFather) in "settings.py" file:

    'TOKEN' : 'XXXXXXXXX:XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX'

Usage

To ease usage a run, status, and kill scripts have been provided.

  • Launch the Bot:
    ./run

  • Check if the script is running:
    ./status

  • Stop the Bot:
    ./kill

Systemd service

For systemd based systems, you can setup the Bot as daemon service.

To do that, you need to create a new service description file for the Bot as follow:

[vim or nano] /etc/systemd/system/bot.service

File content:

[Unit]
Description=Bot Telegram Daemon
Wants=network-online.target
After=network-online.target

[Service]
Type=forking
WorkingDirectory=/path/to/dir/sources/
ExecStart=/path/to/dir/sources/run
ExecReload=/path/to/dir/sources/kill

[Install]
WantedBy=multi-user.target

Then, to add the new service into systemd, you should enable it:

systemctl enable --now bot.service

Remember that, if you wan't to disable it, you should execute:

systemctl disable bot.service

Docker

You can also run the bot on Docker. This allows easy server migration and automates the download of all dependencies. Look at the docker specific documentation for more details about how to create a Docker Container for Captcha Bot.

Bot Owner

The Bot Owner can run special commands that no one else can use, like /allowgroup (if the Bot is private, this allow groups where the Bot can be used) or /allowuserlist (to make Bot don't ask for captcha to some users, useful for blind users).

You can setup a Bot Owner by specifying the Telegram User ID or Alias in "settings.py" file:

"BOT_OWNER": "@JoseTLG",

Make Bot Private

By default, the Bot is Public, so any Telegram user can add and use the Bot in any group, but you can set it to be Private so the Bot just can be used in allowed groups (Bot owner allows them with /allow_group command).

You can set Bot to be Private in "settings.py" file:

"BOT_PRIVATE" : True,

Note: If you have a Public Bot and set it to Private, it will leave any group where is not allowed to be used when a new user joins.

Note: Telegram Private Groups could changes their chat ID when it become a public supergroup, so the Bot will leave the group and the owner has to set the new group chat ID with /allow_group.

Scalability (Polling or Webhook)

By default, Bot checks and receives updates from Telegram Servers by Polling (requests and get if there is any new updates in the Bot account corresponding to that Bot Token), this is really simple and can be used for low to median scale Bots. However, you can configure the Bot to use a Webhook instead if you expect to handle a large number of users/groups.

To use Webhook instead Polling, you need a signed certificate file in the system, you can create the key file and self-sign the cert through openssl tool:

openssl req -newkey rsa:2048 -sha256 -nodes -keyout private.key -x509 -days 3650 -out cert.pem

Once you have the key and cert files, setup the next lines in "settings.py" file to point to expected Webhook Host address, port and certificate file:

"WEBHOOK_HOST": "Current system IP/DNS here",
"WEBHOOK_PORT": 8443,
"WEBHOOK_CERT" : SCRIPT_PATH   "/cert.pem",
"WEBHOOK_CERT_PRIV_KEY" : SCRIPT_PATH   "/private.key",

To use Polling instead Webhook, just set host value back to none:

"WEBHOOK_HOST": "None",

Environment Variables Setup

You can setup some Bot properties manually changing their values in settings.py file, but also you can use enviroment variables to setup all that properties (this is really useful for advance deployment when using Virtual Enviroments and/or Docker to isolate the Bot process execution).

Adding a New Language

Actual language support is based on external JSON files that contain all bot texts for each language.

To add support for a new language you must follow this steps:

  1. Fork the project repository, clone it and create a new branch to work on it (i.e. named language-support-en).

  2. Copy from one of the existing language JSON files from here to a new one.

  3. Change the name of that file for the language ISO Code of the language that you want.

  4. Translate each text from JSON key values of the file without breaking the JSON format/structure (it should be valid for JSON parsers) and maintaining JSON key names. Keep command names in english (i.e. don't translate "START", "HELP"... /start /help ...) and don't remove special characters (like {}, ", ', \n...) too!

  5. Make a pull request of that branch with the new language file into this repository and wait for it to be accepted.

  6. Then, I will make the integration into source code and actual Bot account (@join_captcha_bot).

  7. Enjoy the new language :)

Languages Contributors

Support the original developer (J-Rios)

BuyMeACoffee: https://www.buymeacoffee.com/joincaptchabot

Paypal: https://www.paypal.me/josrios