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Scheduler

Submit a job to log into the website 48 hours before the class

Booker

  1. Log in to website https://URL/login/
  2. Go to timetable https://URL/timetable/
  3. Get date and navigate
  4. Select class
  5. Book - see you're all set message

Tests (run during pipeline)

flake8 style enforcement:

flake8 --ignore=E203,C901,E402,E501,D400 --max-line-length=160 app/ test/ main.py

Bandit security linting:

bandit main.py

Pytest unit tests:

python3 -m pytest

Build and run locally

Local:

export GOOGLE_APPLICATION_CREDENTIALS=./secrets/gym-booker-72a4fa622a1e.json
python main.py
gunicorn -b 0.0.0.0:8080 main:app

Container:

docker build -t gym:latest .

docker run -it \
           -p 8080:8080 \
           -v /Users/jamespenson/Documents/python/gym-class-booker/secrets:/secrets \
           -e GOOGLE_APPLICATION_CREDENTIALS=/secrets/gym-booker-72a4fa622a1e.json \
    gym:latest

curl -X POST \
     -H "Content-Type: application/json" \
     -d @secrets/test-class.json \
     localhost:8080/api/book