Add pip and python for pyimagej #4
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| name: Build and Upload Conda Environments | |
| on: | |
| push: | |
| branches: | |
| - main | |
| paths: | |
| - 'environments/*.yml' | |
| jobs: | |
| build-and-upload: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Checkout code | |
| uses: actions/checkout@v4 | |
| - name: Set up Conda | |
| uses: conda-incubator/setup-miniconda@v2 | |
| with: | |
| auto-update-conda: true | |
| python-version: "3.10" # Specify the Python version | |
| activate-environment: true | |
| - name: Install AWS CLI and Conda-Pack | |
| run: | | |
| conda install -c conda-forge awscli conda-pack=0.7.1 | |
| - name: Discover Environments | |
| id: discover | |
| run: | | |
| echo "envs=$(ls environments/*.yml | xargs -n 1 basename)" >> $GITHUB_ENV | |
| - name: Create, Pack, and Upload Environments | |
| env: | |
| AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
| AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
| AWS_S3_BUCKET_NAME: ${{ secrets.AWS_S3_BUCKET_NAME }} | |
| AWS_S3_ENDPOINT: ${{ secrets.AWS_S3_ENDPOINT }} | |
| AWS_EC2_METADATA_DISABLED: "true" # https://github.com/aws/aws-cli/issues/5262#issuecomment-705832151 | |
| PYTHONNOUSERSITE: "True" | |
| run: | | |
| # copy manifest to s3 | |
| aws s3 --endpoint-url $AWS_S3_ENDPOINT cp hypha-services-manifest.yaml s3://$AWS_S3_BUCKET_NAME/hypha-services-manifest.yaml | |
| # copy the services folder to s3 | |
| aws s3 --endpoint-url $AWS_S3_ENDPOINT cp --recursive services s3://$AWS_S3_BUCKET_NAME/services | |
| for env_file in $envs; do | |
| env_name="${env_file%.*}" | |
| echo "Processing $env_name" | |
| conda env create -f ./environments/$env_file -n $env_name | |
| conda pack -n $env_name -o $env_name.tar.gz | |
| aws s3 --endpoint-url $AWS_S3_ENDPOINT cp $env_name.tar.gz s3://$AWS_S3_BUCKET_NAME/environments/$env_name.tar.gz | |
| echo "Uploaded $env_name.tar.gz to S3" | |
| # remove the environment | |
| conda env remove -n $env_name | |
| rm $env_name.tar.gz | |
| done | |