This repository contains code which demonstrates Dev-Sec-Ops using a FastAPI application which predicts the flower class using the IRIS dataset (https://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html)

• Create a fork of the repo using the fork button.
• Clone your fork using git clone https://www.github.com/<your-username>/mlops-iris.git
• Install dependencies using pip3 install -r requirements.txt
• Run application using python3 main.py
• Run tests using pytest

• unittest: Run the python unit tests using pytest
• codecoverage: Analyze code quality using codecov and upload results
• container-security: Scan docker image using anchore and upload SARIF report artifact
• upload_zip: Package code and upload as artifact

• Fix badge to show coverage for your repo. (hint: find correct link for badge from codecov.io)
• Add OS to matrix strategy along with PYTHON to test with different operating systems like ubuntu-latest, windows-latest etc.
• Improve code coverage and bring it above 95%
• Make a visualisation for sarif report using any tool. upload screenshot, image, html or pdf. Add it to the reports/ folder.

• Link to github repository as a comment on the submission (olympus portal). [uploading .txt is optional]