Image processing app

Image processing app supports following operations:

1. POST new CSV

http://0.0.0.0:8000/add

This is a protected endpoint, which allows users to add or replace image frames into the current running DB. The Authorization header needs to be in the call, with the value provided in the .env file (DUMMY_TOKEN). The CSV file must be passed in the body, as standard text file, with the name csv_file. The call returns some metadata around the process, like nr of invalid lines, inserted images and overall status.

2. GET Images in range

http://0.0.0.0:8000/images?depth_min=9000&depth_max=9020

The images are returned as an array of base64 strings. The assumption is that the client can decode and use them as required. This allows a simple, clean and testable solution to send multiple images in one answer.

3. GET Image

http://0.0.0.0:8000/image/?depth=9001

This call will return the image, from the DB, at the depth indicated in the parameter (9001 as example)

Architectural Pattern Used

1. MVC Pattern - This app uses MVC(Model View Controller) pattern where controller, services and database access classes are separated from one another.

How to run application

To start the application, docker is required. The application will run throuh the docker compose command:

docker compose up --build

TESTS

Pytest and a folder, called tests has been created, to support the tests driven programming methodology, and to guardantee a better quality of the application. There are 2 tests which get executed automatically, running the command:

pytest /app