robertbarac/intro-deployment-ml

Prueba Técnica InBev

Architecture

Collaboration

Here is the collaboration part of the technical exam:

MLModelDeployment

Here is my implementation of my technical test:

Steps: -create a venv: pyhon3-m venv env OR virtualenv venv -activate the environment: source env/bin/activate -pip install -r notebooks/requierements.txt OR -pip install -r api/requirements -pip install jupyter

• jupyter notebook
• Run the notebook, save the model
• create the folders: ./api/, ./api/app/
• create the files: ./api/main.py ./api/app/utils.py ./api/app/models.py and ./api/app/views.py

Testing with SonarCloud

It was not possible, SonarCloud is paid, and the free plan is not avaiable to choose.

About Docker

• build the docker container with: DOCKER_BUILDKIT=1 docker build . -t model-api-inveb:v1
• Run the container: docker run -p 8000:8000 model-api-inbev:v1
• Stop the container: docker stop $(docker ps -a -q)