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name: Continuous Duckies
on:
push:
path:
- continuous_duckies.py
- .github/workflows/continuous-duckies.py
- assets/duck_builder/**
- aaaaAAAA/procedural_duckies.py
jobs:
build:
name: Build our Continuous Duckies
runs-on: ubuntu-latest
env:
# Configure pip to cache dependencies and do a user install
PIP_NO_CACHE_DIR: false
PIP_USER: 1
# Disable Poetry virtualenv creation
POETRY_VIRTUALENVS_CREATE: false
# Specify explicit paths for python dependencies
# so we know which directories to cache
PYTHONUSERBASE: ${{ github.workspace }}/.cache/py-user-base
steps:
- name: Add custom PYTHONUSERBASE to PATH
run: echo '${{ env.PYTHONUSERBASE }}/bin/' >> $GITHUB_PATH
- name: Checkout repository
uses: actions/checkout@v2
- name: Setup python
id: python
uses: actions/setup-python@v2
with:
python-version: '3.9'
# This step caches our Python dependencies. To make sure we
# only restore a cache when the dependencies, the python version,
# the runner operating system, and the dependency location haven't
# changed, we create a cache key that is a composite of those states.
#
# Only when the context is exactly the same, we will restore the cache.
- name: Python Dependency Caching
uses: actions/cache@v2
id: python_cache
with:
path: ${{ env.PYTHONUSERBASE }}
key: "python-0-${{ runner.os }}-${{ env.PYTHONUSERBASE }}-\
${{ steps.python.outputs.python-version }}-\
${{ hashFiles('./pyproject.toml', './poetry.lock') }}"
# Install our dependencies if we did not restore a dependency cache
- name: Install dependencies using poetry
if: steps.python_cache.outputs.cache-hit != 'true'
run: |
pip install poetry
poetry install --no-interaction --no-ansi
# Build our continuous duckies.
- name: Build Duckies
run: poetry run ./continuous_duckies.py
- name: Upload the Build Artifact
uses: actions/upload-artifact@v2
with:
name: Continuous Ducky Board
path: ducky_board.png