added: sidebar: diet plots #51
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name: Conda Env Workflow | |
on: | |
push: | |
branches: | |
- master | |
permissions: | |
id-token: write | |
contents: read | |
jobs: | |
create-conda-env: | |
runs-on: ubuntu-latest | |
env: | |
AWS_DEFAULT_REGION: eu-west-1 | |
container: | |
image: amazonlinux:2 | |
steps: | |
- name: Install tar (for code checkout) | |
run: yum install -y tar gzip | |
- name: Checkout Code | |
uses: actions/checkout@v3 # Checks out the repository under $GITHUB_WORKSPACE. | |
- name: Setup conda | |
uses: conda-incubator/setup-miniconda@v2 | |
with: | |
miniconda-version: "latest" | |
activate-environment: pheno | |
python-version: 3.11 | |
environment-file: environment.yml | |
- name: Install pheno-utils | |
shell: bash -el {0} | |
run: | | |
cd $GITHUB_WORKSPACE | |
pip install . # Install pheno-utils from the current directory | |
conda list | |
- name: Pack Conda | |
shell: bash -el {0} | |
run: | | |
# Enable adding the kernel to JupyterLab | |
pip install -q ipykernel | |
python -m ipykernel install --user --name pheno --display-name "Pheno" | |
pip install -q conda-pack | |
conda pack --quiet -n pheno -o $HOME/pheno.tar.gz | |
- name: Configure AWS Credentials | |
uses: aws-actions/configure-aws-credentials@v3 | |
with: | |
role-to-assume: arn:aws:iam::081569964966:role/github_cicd | |
aws-region: ${{ env.AWS_DEFAULT_REGION }} | |
- name: Setup AWS CLI | |
run: | | |
yum install -y unzip > /dev/null | |
echo "Installing AWS CLI" | |
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip" | |
unzip awscliv2.zip | |
./aws/install | |
aws --version | |
- name: Upload to S3 | |
run: | | |
echo "Uploading artifact to S3" | |
DATE=$(date +%Y-%m-%d-%H-%S) | |
BRANCH=${GITHUB_REF#refs/heads/} | |
BRANCH=${BRANCH//\//_} # Replace / with _ in branch name | |
aws s3 cp $HOME/pheno.tar.gz "s3://pheno-ds-github-cicd-${{ env.AWS_DEFAULT_REGION }}/conda_envs/${BRANCH}_${DATE}.tar.gz" |