Update tests.yml

.github/workflows/tests.yml

@@ -7,53 +7,26 @@ on:
 
 jobs:
   test:
+    timeout-minutes: 5
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v1
         with:
           fetch-depth: 1
 
-      - name: Set up Python 3.11
+      - name: Set up Python 3.12
         uses: actions/setup-python@v1
         with:
-          python-version: 3.11
+          python-version: 3.12
 
-      # Cache the installation of Poetry itself, e.g. the next step. This prevents the workflow
-      # from installing Poetry every time, which can be slow. Note the use of the Poetry version
-      # number in the cache key, and the "-0" suffix: this allows you to invalidate the cache
-      # manually if/when you want to upgrade Poetry, or if something goes wrong. This could be
-      # mildly cleaner by using an environment variable, but I don't really care.
-      - name: cache poetry install
-        uses: actions/cache@v2
-        with:
-          path: ~/.local
-          key: poetry
-
-      # Install Poetry. 
-      - run: pipx install poetry
-
-      # Cache your dependencies (i.e. all the stuff in your `pyproject.toml`). Note the cache
-      # key: if you're using multiple Python versions, or multiple OSes, you'd need to include
-      # them in the cache key. I'm not, so it can be simple and just depend on the poetry.lock.
-      - name: cache deps
-        id: cache-deps
-        uses: actions/cache@v2
-        with:
-          path: .venv
-          key: pydeps-${{ hashFiles('**/poetry.lock') }}
 
-      # Install dependencies. `--no-root` means "install all dependencies but not the project
-      # itself", which is what you want to avoid caching _your_ code. 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'
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          python3 -m pip install robotpy
+          python3 -m robotpy sync
 
-      # Now install _your_ project. This isn't necessary for many types of projects -- particularly
-      # things like Django apps don't need this. But it's a good idea since it fully-exercises the
-      # pyproject.toml and makes that if you add things like console-scripts at some point that
-      # they'll be installed and working.
-      - run: poetry install --no-interaction
 
-      # And finally run tests. I'm using pytest and all my pytest config is in my `pyproject.toml`
-      # so this line is super-simple. But it could be as complex as you need.
-      - run: poetry run coverage run robot.py test
+      - name:
+        run: |
+          python3 -m robotpy test