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Revert "[ID-1352] Update TNU version in Dockerfile" #374

Revert "[ID-1352] Update TNU version in Dockerfile"

Revert "[ID-1352] Update TNU version in Dockerfile" #374

name: Test terra-jupyter-bioconductor
# Perform smoke tests on the terra-jupyter-bioconductor Docker image to have some amount of confidence that
# Python package versions are compatible.
#
# To configure the minimal auth needed for these tests to be able to read public data from Google Cloud Platform:
# Step 1: Create a service account per these instructions:
# https://github.com/google-github-actions/setup-gcloud/blob/master/setup-gcloud/README.md
# Step 2: Give the service account the following permissions within the project: BigQuery User
# Step 3: Store its key and project id as GitHub repository secrets TD_GCP_SA_KEY and GCP_PROJECT_ID.
# https://docs.github.com/en/free-pro-team@latest/actions/reference/encrypted-secrets#creating-encrypted-secrets-for-a-repository
on:
pull_request:
branches: [ master ]
paths:
- 'terra-jupyter-bioconductor/**'
- '.github/workflows/test-terra-jupyter-bioconductor.yml'
push:
# Note: GitHub secrets are not passed to pull requests from forks. For community contributions from
# regular contributors, its a good idea for the contributor to configure the GitHub actions to run correctly
# in their fork as described above.
#
# For occasional contributors, the dev team will merge the PR fork branch to a branch in upstream named
# test-community-contribution-<PR#> to run all the GitHub Action smoke tests.
branches: [ 'test-community-contribution*' ]
paths:
- 'terra-jupyter-bioconductor/**'
- '.github/workflows/test-terra-jupyter-bioconductor.yml'
workflow_dispatch:
# Allows manually triggering of workflow on a selected branch via the GitHub Actions tab.
# GitHub blog demo: https://github.blog/changelog/2020-07-06-github-actions-manual-triggers-with-workflow_dispatch/.
env:
GOOGLE_PROJECT: ${{ secrets.GCP_PROJECT_ID }}
jobs:
test_docker_image:
runs-on: self-hosted
steps:
- name: Checkout
uses: actions/checkout@v2
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: '3.10'
- name: Free up some disk space
run: sudo rm -rf /usr/share/dotnet
- id: auth
uses: google-github-actions/auth@v1
with:
credentials_json: ${{ secrets.TD_GCP_SA_KEY }}
create_credentials_file: true
- name: Set up Cloud SDK
uses: google-github-actions/setup-gcloud@v0.3.0
with:
project_id: ${{ secrets.GCP_PROJECT_ID }}
- name: Build Docker image and base images too, if needed
run: |
gcloud auth configure-docker
./build_smoke_test_image.sh terra-jupyter-bioconductor
- name: Run Python code specific to notebooks with nbconvert
# Run all notebooks from start to finish, regardles of error, so that we can capture the
# result as a workflow artifact.
# See also https://github.com/marketplace/actions/run-notebook if a more complicated
# workflow for notebooks is needed in the future.
run: |
chmod a+w $GITHUB_WORKSPACE/terra-jupyter-bioconductor/tests
chmod a+r "${{ steps.auth.outputs.credentials_file_path }}"
docker run \
--env GOOGLE_PROJECT \
--volume "${{ steps.auth.outputs.credentials_file_path }}":/tmp/credentials.json:ro \
--env GOOGLE_APPLICATION_CREDENTIALS="/tmp/credentials.json" \
--volume $GITHUB_WORKSPACE/terra-jupyter-bioconductor/tests:/tests \
--workdir=/tests \
--entrypoint="" \
terra-jupyter-bioconductor:smoke-test \
/bin/sh -c 'for nb in *ipynb ; do jupyter nbconvert --to html_embed --ExecutePreprocessor.timeout=300 --execute "${nb}" ; done'
- name: Upload workflow artifacts
uses: actions/upload-artifact@v4
with:
name: notebook-execution-results
path: terra-jupyter-bioconductor/tests/*.html
retention-days: 30