fix gdal workflow?

.github/workflows/python-tests.yml

@@ -18,6 +18,7 @@ jobs:
     # Use Docker container to avoid GDAL dependency issues
     container:
       image: osgeo/gdal:ubuntu-small-latest
+
     steps:
       - uses: actions/checkout@v2
 
@@ -40,32 +41,25 @@ jobs:
           virtualenvs-create: true
           virtualenvs-in-project: true
 
-      # Install system dependencies for GDAL
-      - name: Install system dependencies for GDAL
-        run: |
-          sudo apt-get update
-          sudo apt-get install -y libgdal-dev gdal-bin
-
-      # Set GDAL environment variables
-      - name: Set GDAL environment variables
-        run: |
-          echo "GDAL_CONFIG=$(which gdal-config)" >> $GITHUB_ENV
-          echo "GDAL_VERSION=$(gdal-config --version)" >> $GITHUB_ENV
-
-      # Cache your project dependencies
+      # Cache your project dependencies. This caches the virtual environment
+      # to speed up builds by caching the dependencies
       - name: cache deps
         id: cache-deps
         uses: actions/cache@v2
         with:
-          path: .venv
-          key: pydeps-${{ hashFiles('**/poetry.lock') }}
+          path: ./.venv
+          key: ${{ runner.os }}-venv-${{ hashFiles('**/poetry.lock') }}
 
       # Install dependencies with Poetry, avoiding caching of the project itself
+      # The `if` statement ensures this only runs on a cache miss
       - run: poetry install --no-interaction --no-root
         if: steps.cache-deps.outputs.cache-hit != 'true'
 
       # Install the project using Poetry to fully-exercise pyproject.toml
+      # This is necessary for projects that need to be installed, such as
+      # Python packages
       - run: poetry install --no-interaction
 
       # Run tests with pytest as configured in pyproject.toml
+      # This assumes that your pytest configuration is located in pyproject.toml
       - run: poetry run pytest