Containerized App Exercise

The Containerized App Exercise is a project aimed at building a containerized application consisting of multiple subsystems, each operating within its own Docker container. The project includes:

• Machine Learning Client: TODO
• Web App: A Flask-based Web App that captures an image from the user's camera and places the data in the databse.
• Database: A local MongoDB database used by both the machine learning client and the web app to store and retrieve data.

Instructions

The App Uses docker-compose to build the three docker containers necessary. To build, run

docker compose up

from the project root.

Pytest

To run tests using pytest, run:

pytest

or for the Dockerized version

docker build -t test-image -f PytestDockerfile .
docker run test-image

from the project root

Teammates

• Corina Luca
• Jakob Hablitz
• Josckar Palomeque-Elias
• Stella Zhang