Run app locally

Create database

export PGPASSWORD=123
export PGUSER=testapp
docker run --rm --name testapp-postgres -p 5432:5432 -e POSTGRES_USER="$PGUSER" -e POSTGRES_PASSWORD="$PGPASSWORD" -d postgres
psql -h localhost

Create python venv

# python3 -m venv venv
# . venv/bin/activate
# pip install requirements.txt

Initialize DB and DB migrations

export SQLALCHEMY_DATABASE_URI="postgresql://testapp:123@localhost:5432/testapp"
# flask db init
# flask db migrate
# flask db upgrade

When updating models it is necessary to prepare the db migrations while connected to a development database, by running:

# flask db migrate

then commit to git and build a new docker image.

Before the production image runs the application, it will run flask db upgrade to run the db migrations on the production database.

Run unit tests

pytest -v

Run app

export SQLALCHEMY_DATABASE_URI="postgresql://testapp:123@localhost:5432/testapp"
export FLASK_ENV=development
flask run

Deploy app to AWS EKS

Create the EKS cluster

# brew install eksctl yq
# eksctl create cluster --name testcluster --region eu-west-1 --fargate

Create RDS postgres

Build docker image

Run tests locally

. venv/bin/activate
pytest -v

Build and push to docker hub

docker login
docker build -t tpatrascuboom/testapp:v0.0.1 .
# docker push tpatrascuboom/testapp:v0.0.1

Deploy app on cluster

yq e -i '.spec.template.spec.containers[0].image = "tpatrascuboom/testapp:v0.0.1"' k8s-app-deploy.yaml
# kubectl -n default apply -f k8s-app-deploy.yaml
# kubectl -n default apply -f k8s-app-svc.yaml

Get service endpoint

kubectl get svc web
NAME   TYPE           CLUSTER-IP     EXTERNAL-IP                                                                     PORT(S)          AGE
web    LoadBalancer   10.100.13.72   a6275b3db004c401da3a27e3cae15ded-d212d8afb2dfea9f.elb.eu-west-1.amazonaws.com   8080:32666/TCP   7m54s