AI Fitness Trainer - AIFT

Installation ⚡️

Requires

• Python: 3.7~3.8

Install with poetry:

pip install poetry
poetry install

Deployment app ⛄️

Run MongoDB with docker:

sudo docker pull mongo
sudo docker run --name some-mongo -p 27017:27017 -d mongo

Deployment with Docker 🐳

Docker build and run with Dockerfile:

sudo docker pull mongo
sudo docker run --name some-mongo -p 27017:27017 -d mongo
sudo docker build -t gym-trainer .
sudo docker run -it -d gym-trainer

Deployment with docker-compose:

docker-compose up -d

• Server backend - docs: http://0.0.0.0:8088/docs
• Api backend: http://0.0.0.0:8088/redoc
• Server frontend: http://0.0.0.0:8088

Run tests 😋

Tests for this project are defined in the tests/ folder.

pytest

Run tools 🌍

Auto format:

poetry run app/utils/format

Auto lint:

poetry run app/utils/lint

Auto test:

poetry run app/utils/test

Tree directory 🌗

app
├── api                  - web related stuff.
│   ├── database         - config database.
│   │   ├── models       - definition of error handlers.
│   │   ├── excute       - sql handling, CRUD.
│   │   ├── connect.py   - connect to database.
│   ├── errors           - definition of error handlers.
│   └── routes           - web routes.
│   └── services         - logic that is not just crud related.
│   └── responses        - response for api request corresponding.
├── core                 - application configuration, startup events, logging.
├── logger               - export log for server process.
├── tests                - test api, code.
├── utils                - tools format, lint, test, etc.
├── resources            - image, audio, csv, etc. (ignore)
├── pyproject.toml       - dependencies and package.
└── main.py              - FastAPI application creation and configuration.