Finance bot built on dff. Uses telegram as an interface.

This bot listens for user questions and finds similar questions in its database by using the clips/mfaq model.

It displays found questions as buttons. Upon pressing a button, the bot sends an answer to the question from the database.

An example of bot usage:

In order for the bot to work, set the bot token via .env. First step is creating your .env file:

echo TG_BOT_TOKEN=******* >> .env

conda install -y -c conda-forge postgresql
initdb -D finance_db
pg_ctl -D finance_db -l logfile start
createuser --encrypted --pwprompt __username__
createdb --owner=__username__ inner_finance_db

echo POSTGRES_USERNAME=******* >> bot/.env
echo POSTGRES_PASSWORD=******* >> bot/.env
echo POSTGRES_DB=******* >> bot/.env

Get token from Tinkoff. Instruction is here

echo TINKOFF_TOKEN=******* >> .env

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In order for the bot to work, set the bot token via .env. First step is creating your .env file:

0fea0f1162dae6f5a211dd250d7e63f5effc93a7

pip install -r bot/requirements.txt

python bot/run.py

Build the bot:

docker-compose build

Testing the bot:

docker-compose run bot pytest test.py

Running the bot:

docker-compose run bot python run.py

Running in background

docker-compose up -d

In order for the bot to work, set the bot token, example is in .env. First step is setting environment variables:

export TG_BOT_TOKEN=*******
export TINKOFF_TOKEN==*******

Build the bot:

pip3 install -r requirements.txt

Testing the bot:

pytest test.py

Running the bot:

python run.py

Read CONTRIBUTING.md

Vladimir Dimitrov