CICD Assignment

Introduction

• This repository contains a data folder containing the datasets for training and testing.
• It contains a train.py file for training a model and saving it and a test.py for testing the model.
• It contains a requirements.txt listing the python dependencies.
• It also contains a workflow file at .github/workflows/score.yml which trains the model in train.py and then tests it using test.py and succeeds only if the score is above 0.50.
• You can view the pull request for an example.

Steps

• Fork this repository
• Create an account in docker hub (or any other registry of your choice)
• Create a Dockerfile which trains the model in the building phase and executes test.py when the container is run
• Create 2 github action workflows triggered on pull request
  • First one: creates a docker image and pushes it to a registry
  • Second one: pulls the docker image from the registry and runs it. It succeeds only if the score returned is greater than 0.50
• Have 3 separate pull requests from different branches covering the following 3 scenarios
  • Both of your actions fail
  • One of your actions fail
  • Both of your actions pass
• Note: You should change only the train.py file
• Note: The second action should only run if the first one passes
• Names of the actions: Train(first one) and Test(second one)