Beer Finder

Description:

The Django project with monolithic architecture aims to parse data of beer from Moscow bars and store it in a PostgreSQL database. The application is built using the Django web framework, with Django Rest Framework (DRF) for exposing the data via RESTful APIs, and Python-telegram-bot for providing data to users through a Telegram bot. Application statistics are collected in MongoDB. The functionality of the bot also includes the use of the user's geolocation to plot a route to a suitable bar.

Bot preview in few steps:

• As a user, you can see the list of available bars:
• As a user, you can choose the nearest bar by sending the geolocation to the bot or simply typing address:
• As a user, you can get bar coordinates based on metro station:
• As a user, you can find beer based on the available filters or your preferences:

Installation:

• Clone the repository to a local directory:

  https://github.com/bycs/beer_finder

• Set your own variable values in .env_template and rename to .env
• Application launch:

  docker-compose -f docker-compose.prod.yaml up --build

For development:

docker-compose -f docker-compose.dev.yaml up --build

API specification:

Swagger UI:

http://79.137.198.62/api/v1/docs/

Router	Description
GET/api/v1/bar_branches/	Returns bar branches data
GET/api/v1/bar_branches/{uuid}/	Returns current bar branch data by pk
GET/api/v1/bars/	Returns bars data
GET/api/v1/bars/{uuid}/	Returns current bar data by pk
GET/api/v1/beers/	Returns beer data
GET/api/v1/beers/{uuid}/	Returns current beer data by pk

Join the development:

• Repeat the first two steps from the Installation
• Activate the virtual environment:

poetry config virtualenvs.in-project true
poetry install

• Use pre-commit:

pre-commit install

Do you have any questions?

Contact me on Telegram