dev(tests): add codecov report

.github/workflows/ci.yml

@@ -71,4 +71,10 @@ jobs:
       - name: Run tests
         run: |
           source .venv/bin/activate
-          pytest tests/
+          pytest tests/ --cov spark_on_k8s --cov-report=json
+
+      - name: Upload coverage reports to Codecov
+        if: github.ref == 'refs/heads/main'
+        uses: codecov/[email protected]
+        with:
+          token: ${{ secrets.CODECOV_TOKEN }}

README.md

@@ -1,5 +1,8 @@
 # Spark On Kubernetes
 
+[![OpenSSF Best Practices](https://www.bestpractices.dev/projects/8883/badge)](https://www.bestpractices.dev/projects/8883)
+![CI workflow](https://github.com/hussein-awala/spark-on-k8s/actions/workflows/ci.yml/badge.svg)
+
 Spark on Kubernetes is a python package that makes it easy to submit and manage spark apps on Kubernetes.
 It provides a Python client that can be used to submit apps in your API or scheduler of choice, and a CLI
 that can be used to submit apps from the command line, instead of  using spark-submit.

pyproject.toml

@@ -31,6 +31,7 @@ websockets = {version = "^12", optional = true}
 [tool.poetry.dev-dependencies]
 mock = "^5.1.0"
 pytest = "^7.4.3"
+pytest-cov = "^5.0.0"
 pre-commit = "^3"
 freezegun = "^1.4.0"