test: Poetry on macOS

Use short options for `tr` and `cut`, for compatibility with the macOS
tools.

Installing GDAL with Conda is one of the few cross-platform installation
methods available:

- GDAL 3.4.1 is not available for installation with brew
  <https://formulae.brew.sh/formula/gdal>.
- Poetry ignores declaration of different versions for macOS and Linux
  <python-poetry/poetry#5506>.

Unfortunately Conda does not yet support Python 3.11
<conda/conda#11170>, so I've dropped that.

.github/workflows/test.yml

@@ -57,53 +57,65 @@ jobs:
  working-directory: flooding/sentinel2_water_extraction
 
  test-poetry:
- name: Test using Poetry on Python ${{ matrix.python }}
- runs-on: ubuntu-22.04
+ name:
+ Test on ${{ matrix.runner }}, using Poetry with Python ${{ matrix.python
+ }}
+ runs-on: ${{ matrix.runner }}
  strategy:
  fail-fast: false
  matrix:
+ runner:
+ - macos-12
+ - ubuntu-22.04
  python:
  - "3.8"
  - "3.9"
  - "3.10"
- - "3.11"
+ include:
+ - runner: macos-12
+ pip-cache-dir: ~/Library/Caches/pip
+ - runner: ubuntu-22.04
+ pip-cache-dir: ~/.cache/pip
  steps:
  - name: Check out repository
  uses: actions/checkout@v3.3.0
 
  - name: Use Python ${{ matrix.python }}
+ id: setup-python
  uses: actions/setup-python@v4.5.0
  with:
  python-version: ${{ matrix.python }}
 
  - name: Cache pip
  uses: actions/cache@v3.2.3
  with:
- path: ~/.cache/pip
+ path: ${{ matrix.pip-cache-dir }}
  key:
  ${{ runner.os }}-pip-${{ secrets.CACHE_SEED }}-${{ matrix.python
  }}-${{
  hashFiles('./flooding/sentinel2_water_extraction/poetry.lock') }}
  restore-keys:
  ${{ runner.os }}-pip-${{ secrets.CACHE_SEED }}-${{ matrix.python }}-
 
- - name: Update package registry
- run: sudo apt-get update
-
  - name: Install Poetry
  run: pip install --disable-pip-version-check --progress-bar=off poetry
 
  - name: Get GDAL Python package version
  run:
- echo "GDAL_VERSION=$(poetry show gdal | tr --delete ' ' | grep
- '^version:' | cut --delimiter=':' --fields=2)" >> $GITHUB_ENV
+ echo "GDAL_VERSION=$(poetry show gdal | tr -d ' ' | grep '^version:' |
+ cut -d ':' -f 2)" >> $GITHUB_ENV
  working-directory: flooding/sentinel2_water_extraction
 
- - name: Install GDAL
+ - name: Setup Conda
+ uses: s-weigand/setup-conda@v1.1.1
+ with:
+ conda-channels: conda-forge
+ python-version: ${{ steps.setup-python.outputs.python-version }}
+
+ - name: Install Conda environment packages
  run:
- sudo apt-get --assume-yes install "libgdal-dev=${{ env.GDAL_VERSION
- }}*"
- working-directory: flooding/sentinel2_water_extraction
+ conda install --channel=conda-forge --quiet --yes gdal=${{
+ env.GDAL_VERSION }} poetry
 
  - name: Install Python packages
  run: poetry install --only=main --no-root

flooding/sentinel2_water_extraction/README.md

@@ -7,7 +7,8 @@ Below are the instructions to get the Notebook up and running
 
 ## Prerequisites
 
-- Python 3.8, 3.9, 3.10, or 3.11
+- Linux (tested on Ubuntu 22.04) or macOS (tested on version 12, Monterey)
+- Python 3.8, 3.9, or 3.10
 - GDAL 3.4
 
 ## Get the Jupyter Notebook