🎨 make data work independent of location, label plots better #654
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name: Run unit tests, integration tests, and publish package if tagged | |
on: | |
push: | |
branches: [main, dev] | |
pull_request: | |
branches: [main, dev] | |
release: | |
types: [published] | |
schedule: | |
- cron: '0 2 * * 3,6' | |
jobs: | |
run-unit-and-integration-tests-with-conda-install: | |
runs-on: ${{ matrix.os }} | |
defaults: | |
run: | |
shell: bash -el {0} | |
strategy: | |
fail-fast: false | |
matrix: | |
os: ["ubuntu-latest", | |
"macos-13", | |
# "windows-latest" # rrcovNA cannot be build from source on windows-server | |
] | |
python-version: ["3.9", "3.10", "3.11", "3.12"] | |
steps: | |
- name: Checkout | |
uses: actions/checkout@v4 | |
- name: Set up Miniconda | |
uses: conda-incubator/setup-miniconda@v3 | |
with: | |
python-version: ${{ matrix.python-version }} | |
channel-priority: strict | |
environment-file: snakemake_env.yml | |
activate-environment: snakemake | |
auto-activate-base: true | |
auto-update-conda: true | |
- name: inspect-conda-environment | |
run: | | |
conda info | |
conda list | |
conda env export --from-history --no-builds > environment.yml | |
conda env export --no-builds | |
conda env export --no-builds > environment_w_versions.yml | |
- name: Dry-Run demo workflow (integration test) | |
run: | | |
cd project | |
snakemake -p -c1 --configfile config/single_dev_dataset/example/config.yaml --use-conda -n | |
- name: Run demo workflow (integration test) | |
continue-on-error: true | |
run: | | |
cd project | |
snakemake -p -c4 -k --configfile config/single_dev_dataset/example/config.yaml --use-conda | |
- name: Run demo workflow again (in case of installation issues) | |
continue-on-error: true | |
run: | | |
cd project | |
snakemake -p -c4 -k --configfile config/single_dev_dataset/example/config.yaml --use-conda | |
- name: Run demo workflow again (in case of installation issues) - one thread | |
run: | | |
cd project | |
snakemake -p -c1 --configfile config/single_dev_dataset/example/config.yaml --use-conda | |
- name: Archive results | |
# https://github.com/actions/upload-artifact | |
uses: actions/upload-artifact@v4 | |
with: | |
name: ${{ matrix.os }}-${{ matrix.python-version }}-example-workflow-results | |
path: | | |
project/runs/example/ | |
snakemake_env | |
project/.snakemake/conda/ | |
run-unit-local-pip-installation: | |
runs-on: ${{ matrix.os }} | |
name: test-pip-installation | |
strategy: | |
fail-fast: false | |
matrix: | |
os: ["ubuntu-latest", "macos-latest", "windows-latest"] | |
python-version: ["3.9", "3.10", "3.11", "3.12"] | |
steps: | |
- uses: actions/checkout@v4 | |
with: | |
fetch-tags: true | |
fetch-depth: 0 | |
- uses: actions/setup-python@v5 | |
with: | |
python-version: ${{ matrix.python-version }} | |
- name: install pimms | |
run: pip install . | |
- name: Install pytest | |
run: pip install pytest pytest-cov | |
- name: Run pytest | |
run: pytest . | |
- name: Install papermill | |
run: pip install papermill ipykernel | |
- name: View papermill help message for notebooks (as scripts) | |
run: | | |
cd project | |
papermill 01_0_split_data.ipynb --help-notebook | |
papermill 01_1_train_VAE.ipynb --help-notebook | |
papermill 01_1_train_DAE.ipynb --help-notebook | |
papermill 01_1_train_CF.ipynb --help-notebook | |
- name: Run tutorial notebooks | |
run: | | |
cd project | |
mkdir runs | |
papermill 04_1_train_pimms_models.ipynb runs/04_1_train_pimms_models.ipynb | |
papermill 04_1_train_pimms_models.ipynb runs/04_1_train_pimms_models_no_val.ipynb -p sample_splits False | |
publish: | |
name: Publish package | |
if: startsWith(github.ref, 'refs/tags') | |
needs: | |
- run-unit-and-integration-tests-with-conda-install | |
- run-unit-local-pip-installation | |
runs-on: ubuntu-latest | |
steps: | |
- uses: actions/checkout@v4 | |
- uses: actions/setup-python@v5 | |
with: | |
python-version: "3.8" | |
- name: Install twine and build | |
run: python -m pip install --upgrade twine build | |
- name: Build | |
run: python -m build | |
- uses: pypa/gh-action-pypi-publish@release/v1 | |
with: | |
user: __token__ | |
password: ${{ secrets.PYPI_API_TOKEN }} |