[#9] CI round three attempt one;

.github/workflows/unit-test.yml

@@ -0,0 +1,26 @@
+name: Unit test run
+
+on:
+  push:
+  pull_request: 
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python
+      uses: actions/setup-python@v4
+      with:
+        python-version: 3.9
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        if [ -f requirements_pip.txt ]; then pip install -r requirements_pip.txt; fi
+    - name: Test with pytest
+      run: python -m coverage run --branch --source=onair -m pytest ./test/
+    - name: Coverage report
+      run: coverage report
+    - name: Upload coverage reports to Codecov
+      uses: codecov/codecov-action@v3

README.md

@@ -1,3 +1,6 @@
+![Build](https://github.com/nasa/OnAIR/actions/workflows/unit-test.yml/badge.svg)
+[![CodeCov](https://codecov.io/gh/nasa/OnAIR/branch/main/graph/badge.svg?token=L0WVOTD5X9)](https://codecov.io/gh/nasa/OnAIR)
+
 # The On-board Artificial Intelligence Research (OnAIR) Platform
 
 The On-board Artificial Intelligence Research (OnAIR) Platform is a framework that enables AI algorithms written in Python to interact with NASA's [cFS](https://github.com/nasa/cFS).