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Telegram Bot

• Deletes messages matching specified patterns
• Bans users for posting messages matching specified patterns
• Bans users with usernames matching specified patterns
• Records logs of conversations
• Logs an English translation of any foreign languages using Google Translate
• Uses textblob for basic sentiment analysis of both polarity and subjectivity

Installation

• Required: Python 3.x, pip, PostgreSQL
• Create virtualenv
• Clone this repo
• pip install --upgrade -r requirements.txt

Database setup

• Store database URL in environment variable.

export TELEGRAM_BOT_POSTGRES_URL="postgresql://<user>:<password>@localhost:5432/<databasename>"

• Run: python model.py to setup the DB tables.

Setup

• Create a Telegram bot by talking to @BotFather : https://core.telegram.org/bots#creating-a-new-bot
• Use /setprivacy with @BotFather in order to allow it to see all messages in a group.
• Store your Telegram Bot Token in environment variable TELEGRAM_BOT_TOKEN. It will look similar to this:

export TELEGRAM_BOT_TOKEN="4813829027:ADJFKAf0plousH2EZ2jBfxxRWFld3oK34ya"

• Create your Telegram group.
• Add your bot to the group like so: https://stackoverflow.com/questions/37338101/how-to-add-a-bot-to-a-telegram-group
• Make your bot an admin in the group

Configuration with ENV vars

• MESSAGE_BAN_PATTERNS : REQUIRED Regex pattern. Messages matching this will ban the user.
• MESSAGE_HIDE_PATTERNS : REQUIRED Regex pattern. Messages matching this will be hidden/deleted
• NAME_BAN_PATTERNS REQUIRED Regex pattern. Users with usernames or first/last names maching this will be banned from the group.
• CHAT_IDS : REQUIRED. Comma-seperated list of IDs of chat(s) that should be monitored. To find out the ID of a chat, add the bot to a chat and type some messages there. The bot log will report an error that it got messages from chat_id not being monitored: XXX where XXX is the chat ID. e.g. -240532994,-150531679
• TELEGRAM_BOT_TOKEN : REQUIRED. Token for bot to control. e.g. 4813829027:ADJFKAf0plousH2EZ2jBfxxRWFld3oK34ya
• TELEGRAM_BOT_POSTGRES_URL : REQUIRED. URI for postgres instance to log activity to. e.g. postgresql://localhost/postgres
• DEBUG : If set to anything except false, will put bot into debug mode. This means that all actions will be logged into the chat itself, and more things will be logged.
• ADMIN_EXEMPT : If set to anything except false, admin users will be exempt from monitoring. Reccomended to be set, but useful to turn off for debugging.
• NOTIFY_CHAT : ID of chat to report actions. Can be useful if you have an admin-only chat where you want to monitor the bot's activity. E.g. -140532994
• CMC_API_KEY: If you want the /price bot command to work, make sure to set a CoinMarketcap API key

Download the corpus for Textblob

For sentiment analysis to work, you'll need to download the latest corpus file for textblob. You can do this by running:

python -m textblob.download_corpora

If you're running the bot on Heroku, set an environment variable named NLTK_DATA to /app/nltk_data by running:

heroku config:set NLTK_DATA='/app/nltk_data'

Message ban patterns

Sample bash file to set MESSAGE_BAN_PATTERNS:

read -r -d '' MESSAGE_BAN_PATTERNS << 'EOF'
# ETH Address
# e.g. F8C8405e85Cfe42551DEfeB2a4548A33bb3DF840
[0-9a-fA-F]{40,40}
# BTC Address
# e.g. 13qt9rCA2CQLZedmUuDiPkwdcAJLsuTvLm
|[0-9a-fA-Z]{34,34}
EOF

Attachments

By default, any attachments other than images or animations will cause the message to be hidden.

Running

Locally

• Run: python bot.py to start logger
• Messages will be displayed on stdout as they are logged.

On Heroku

• You must enable the worker on Heroku app dashboard. (By default it is off.)