A Flask microservice for registering and fetching visualizations by and for the A+ Learning Management System

1. Install requirements

• pip install -r requirements.txt
• Install Docker Compose and PostgreSQL

2. Set config in Charter/instance

• In config.DevelopmentConfig, set hook and API tokens (find the API token from )

3. Set hooks in Aplus (/admin/course/coursehook/)

• Hook url: set the IP and port of the script server, and add the configured hook token as a parameter (?token=)

4. When run for the first time, Postgres is not setup. cd to the root directory. Run docker exec -it api /bin/ash -l to go to a shell inside the api container, run psql -U ucharter to access the database manager, and create the database using CREATE DATABASE charter_dev. Exit psql and the shell. Finally do the migration of models into that database by going into the Postgres container with docker exec -it postgres bash -l, and running python manage.py db init && python manage.py db migrate && python manage.py db upgrade. Note: ash is the shell used by Alpine, the base distribution for the Python image.

1. Run Aplus according to its instructions
2. Run the pack of services (Charter, RabbitMQ, Celery)
3. Go to http://localhost:5000/chart/query
4. Return an exercise in Aplus and see output in Compose

• Use a ready compose package for these services (by Jaakko)
• Implement Aplus coordination using official protocols
• Use credentials in RabbitMQ etc.