Hairstyle Recommendation App is a separate service which takes image of client, applies pipeline of recommandation algorithms and returns recommendation scores for each hairstyle.
- Install Redis (https://redis.io/docs/latest/operate/oss_and_stack/install/install-redis/).
- Install python3 requirements:
pip3 install -r requrements.txt.
- Install Docker (https://docs.docker.com/engine/install/ubuntu/).
- Install Minikube (https://minikube.sigs.k8s.io/docs/start/?arch=%2Flinux%2Fx86-64%2Fstable%2Fbinary+download).
- Build dev-server application:
docker build -t hairstyler .
- To run dev-server application execute the following command:
flask --app hairstyler run --cert=certificates/cert.pem --key=certificates/key.pem --host=0.0.0.0. - To run unit tests execute:
python3 -m unittest discover -v. - Check how API works by playing around with
https://127.0.0.1:5000/docsin your browser.
- Run Minikube:
minikube start - Apply k8s config and start the application:
kubectl apply -f ./configs/k8s.yaml - To run unit tests execute:
kubectl exec --stdin --tty hairstyler -- python3 -m unittest discover -v - Check IP of Minikube by running:
minikube ip. - Check how API works by playing around with
https://<minikube-ip>:30500/docsin your browser.
- Point minikube to docker-daemon:
eval $(minikube -p minikube docker-env)