Adds automatic release workflow (#239)

.github/workflows/python-publish.yml

@@ -0,0 +1,31 @@
+name: Build and upload releases
+
+on:
+  release:
+    types: [published]
+
+jobs:
+  deploy:
+    name: ${{ matrix.os }} ${{ matrix.python-version }}
+    strategy:
+      matrix:
+        os: [ubuntu-latest, macOS-latest]
+        python-version: ['3.8', '3.9', '3.10']
+        poetry-version: [1.2]
+      fail-fast: false
+    runs-on: ${{ matrix.os }}
+
+    steps:
+      - uses: actions/checkout@v2
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v2
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Run image
+        uses: abatilo/[email protected]
+        with:
+          poetry-version: ${{ matrix.poetry-version }}
+      - name: Install package
+        run: poetry install
+      - name: Build and publish package
+        run: poetry publish --build --skip-existing --username __token__ --password ${{ secrets.PYPI_API_TOKEN }}

docs/source/development.rst

@@ -295,24 +295,10 @@ Release Process
 3. Create a new release on Github of the `main` branch of the form ``vX.Y.Z``
    (where ``X``, ``Y``, and ``Z`` refer to the new version).  Add a description
    of the new feature or bugfix. For details on the version number see
-   Versioning_ below.
+   Versioning_ below. This will trigger a Action to automatically build and
+   upload the release to PyPI
 
-4. Pull the repository and checkout the tag and create the distribution files
-   using:
-
-.. code:: bash
-
-    git pull
-    git checkout vX.Y.Z
-    poetry build
-
-5. (maintainers only) Publish the builds to PyPI.
-
-.. code:: bash
-
-    poetry publish
-
-7. (maintainers only) Check if the new version is on pypi (https://pypi.python.org/pypi/pyndl/).
+4. Check if the new version is on pypi (https://pypi.python.org/pypi/pyndl/).
 
 
 Versioning

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "pyndl"
-version = "1.0.0"
+version = "1.0.1"
 description = "Naive discriminative learning implements learning and classification models based on the Rescorla-Wagner equations."
 
 license = "MIT"