name: nf-core AWS test
# This workflow is triggered on push to the master branch.
# It can be additionally triggered manually with GitHub actions workflow dispatch.
# It runs the -profile 'test' on AWS batch.

on:
  workflow_dispatch:


env:
  AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
  AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
  TOWER_ACCESS_TOKEN: ${{ secrets.AWS_TOWER_TOKEN }}
  AWS_JOB_DEFINITION: ${{ secrets.AWS_JOB_DEFINITION }}
  AWS_JOB_QUEUE: ${{ secrets.AWS_JOB_QUEUE }}
  AWS_S3_BUCKET: ${{ secrets.AWS_S3_BUCKET }}


jobs:
  run-awstest:
    name: Run AWS tests
    if: github.repository == 'nf-core/diaproteomics'
    runs-on: ubuntu-latest
    steps:
      - name: Setup Miniconda
        uses: conda-incubator/setup-miniconda@v2
        with:
          auto-update-conda: true
          python-version: 3.7
      - name: Install awscli
        run: conda install -c conda-forge awscli
      - name: Start AWS batch job
        # For example: adding multiple test runs with different parameters
        # Remember that you can parallelise this by using strategy.matrix
        run: |
          aws batch submit-job \
          --region eu-west-1 \
          --job-name nf-core-diaproteomics \
          --job-queue $AWS_JOB_QUEUE \
          --job-definition $AWS_JOB_DEFINITION \
          --container-overrides '{"command": ["nf-core/diaproteomics", "-r '"${GITHUB_SHA}"' -profile test --outdir s3://'"${AWS_S3_BUCKET}"'/diaproteomics/results-'"${GITHUB_SHA}"' -w s3://'"${AWS_S3_BUCKET}"'/diaproteomics/work-'"${GITHUB_SHA}"' -with-tower"], "environment": [{"name": "TOWER_ACCESS_TOKEN", "value": "'"$TOWER_ACCESS_TOKEN"'"}]}'
