server

Server for tracking user ML actions and help to improve models

Starting for development

cp .env.local .env

docker compose up -d

python manage.py migrate

python manage.py runserver

It is more convenient to work via makefile

Just start everything in one command

make local

Copy local env to .env

make env

Run postgres/redis/rabbit (third party apps)

make start_third_party

Run development app

make run

Clean environment

make clean

Requirements

make requirements

Export poetry environment to requirements.txt
Very good for docker image size

Build docker image

make docker