1. Activate Python virtual env
2. pip install awsebcli
3. If your virtual env files are stored in the application folder, add them to .ebignore to prevent them from being uploaded to ElasticBeanstalk.
4. One-time: eb init -> 1 -> DNYF-API-Group -> N -> Python -> Python 3.8 -> N -> N
5. Create EB environment and deploy existing code: eb create dnyf-group-api-prod --single
6. Deploy new code: eb deploy dnyf-group-api-prod
7. Terminate EB environment: eb terminate

Terminating cleans up all resources associated with the environment.

pip install -r requirements-dev.txt

pre-commit install

flake8 . --count --statistics

The whole DB schema is re-created on app startup and data re-populated from the sample_data.py file

Create a network (one-time):

docker network create dnyfcomposite

docker-compose -f docker-compose.yml up --build

docker-compose -f docker-compose.yml up -d --build db

To start the API using a local Python environment:

uvicorn src.app:app --reload

First build and start the containers in debug mode:

docker-compose -f docker-compose.debug.yml up --build

Then in VSCode:

• Navigate to Run and Debug
• Select the Python: Remote Attach configuration
• Start debugging

docker volume create mysql
docker volume create mysql_config
docker network create dnyfnet

docker build --tag dnyf-group-api .

docker run --name dnyf-group-api \
    -p 8000:8000 \
    --network dnyfnet \
    -d dnyf-group-api

docker run --rm --name dnyf-group-db \
    --network dnyfnet \
    -v mysql:/var/lib/mysql \
    -v mysql_config:/etc/mysql \
    -e MYSQL_ROOT_PASSWORD=dbuser \
    -e MYSQL_USER=dbuser \
    -e MYSQL_PASSWORD=dbuser \
    -e MYSQL_DATABASE=dnyf-group-db \
    -p 3306:3306 \
    -d mysql:8.0