Training Microservice

This microservice is in charge of managing the trainings of the users-trainers of the system. It has the basic CRUD of a training with their respective goals. In addition, each training has the functionality to start, pause and complete the training according to the athlete who is performing it. It also implements the basic CRUD of a system of comments and scores for each training.

Documentation

The link to the API documentation of this microservice can be found in the corresponding Swagger: API Documentation - Training Microservice

Docker

Build container:

$ docker-compose build

Start services:

$ docker-compose up

Remove dangling images:

When you run a docker-compose build, it creates a new image, but it doesn't remove the old one, so you can have a lot of images with the same name but different id. Then, you can remove all of them with the following command:

$ docker rmi $(docker images -f dangling=true -q) -f

Deep Cleaning - Free space on your disk

Warning: This will remove all containers, images, volumes and networks not used by at least one container. Its recommended to run this command before docker-compose up to avoid problems.

$ docker system prune -a --volumes

Dependencies

After any change in pyproject.toml file (always execute this before installing):

$ poetry lock

Install Poetry for DEV:

$ poetry install -E dev

Install Poetry for PROD:

$ poetry install

Tests

Run tests:

$ poetry run pytest tests

Format check:

$ poetry run flake8 --max-line-length=88 app

Auto-format:

$ poetry run black --skip-string-normalization app