02-UnitTesting.md

Challenge 2 – Create a Unit Test in Azure DevOps

Prerequisites

1. Challenge#1 (Import Forecasting Project into Azure DevOps) should be done successfully

Introduction

Use this challenge to perform tasks to confirm data has been extracted from source and saved in the working directory

Description

1. If you haven’t already done this in Challenge#1, create and setup a new project in Azure DevOps

   1. Import quickstart code from "https://github.com/microsoft-us-ocp-ai/MLOps"

   2. Create new service connections in Project Settings for your Azure ML service and Azure Subscription using service principal

   3. Make sure your Azure ML workspace is configured for the project.

   • Hint: Add workspace details through Azure DevOps pipeline variables.
   • Hint: Add workspace details in config.json. You can download it from portal too.

2. Write a Python snippet to validate that AdventureWorks data is indeed downloaded and extracted into Data folder. Do a preview of file count in the data folder. Additionally, you could also pick a csv file visualize the data.

Success criteria

1. Confirming the number of files extracted

2. Visualizing and exploring the data

Learning resources

https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/ai/mlops-python

Next challenge – Create a Build Pipeline