azure-pipelines.yml

variables:
  AzureConnection: 'BiomedicalImaging-NonProd(87d8acb3-5176-4651-b457-6ab9cefd8e3d)'
  imageBaseName: 'ghcr.io/gadgetron/gadgetron/ubuntu22.04'
  DOCKER_BUILDKIT: 1
  isPR: $[eq(variables['Build.Reason'], 'PullRequest')]
  isCI: $[or(eq(variables['Build.Reason'], 'IndividualCI'), eq(variables['Build.Reason'], 'BatchedCI'))]
  poolName: gadgetron-msft-managed-pool-westus3

# Trigger when merging to master
trigger:
- master

# Trigger for PRs that merge to master
pr:
- master

jobs:
- job: BuildAndTest
  pool:
    name: $(poolName)
    vmImage:
  timeoutInMinutes: 120
  displayName: "Build, Unit and Integration tests"
  strategy:
    matrix:
      cuda:
        flavor: cuda
        requirements: python,cuda
      nocuda:
        flavor: nocuda
        requirements: python
  steps:
  - task: AzureKeyVault@1
    inputs:
      azureSubscription: $(AzureConnection)
      keyVaultName: gadgetron-build-secrets
  - script: |
        set -euo pipefail
        curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
          && curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list \
          && sudo apt-get update
        sudo apt-get install -y nvidia-container-toolkit
        sudo nvidia-ctk runtime configure --runtime=docker
        sudo systemctl restart docker
        docker pull ghcr.io/gadgetron/gadgetron/cuda:12.3.0-base-ubuntu22.04
        docker run --rm --gpus all ghcr.io/gadgetron/gadgetron/cuda:12.3.0-base-ubuntu22.04 nvidia-smi
    displayName: 'Check GPU availability'
  - script: |
        set -e
        # First build a dev image and run unit tests
        stage_name="gadgetron_$(flavor)build"
        docker build --target ${stage_name} -t ${stage_name} .
        test_command=". /opt/conda/etc/profile.d/conda.sh \
            && conda activate gadgetron \
            && /opt/code/gadgetron/build/test/test_all \
            && /opt/code/gadgetron/build/apps/gadgetron/test/server_tests"
        docker run --gpus=all ${stage_name} /bin/bash -c "$test_command"
    displayName: "Run unit and integration tests"
  - script: |
        set -e
        ./build-images.sh --type dev --type rt --flavor $(flavor) --base-name $(imageBaseName) --tag $(build.BuildNumber)
        cd test/integration && python3 get_data.py && cd ../../
        fullImageName="$(imageBaseName)_rt_$(flavor):$(build.BuildNumber)"
        ./docker/integration-test-image.sh --image ${fullImageName} --ignore-requirements $(requirements) --gpus all --cases cases/*
    displayName: "Publish test results"
  - task: PublishTestResults@2
    inputs:
      testRunner: JUnit
      testResultsFiles: 'junit.xml'
      failTaskOnFailedTests: true
      buildPlatform: "$(imageBaseName)_rt_$(flavor)"
  - script: |
      set -e
      echo "$(ghcr-pat)" | docker login ghcr.io -u $(ghcr-user) --password-stdin
      ./build-images.sh --type dev --type rt --flavor $(flavor) --base-name $(imageBaseName) --tag $(build.BuildNumber) --push
      ./build-images.sh --type dev --type rt --flavor $(flavor) --base-name $(imageBaseName) --tag latest --push
    displayName: 'Push images'
    condition: and(succeeded(), eq(variables.isCI, 'true'))
- job: Package
  pool:
    name: $(poolName)
    vmImage:
  timeoutInMinutes: 120
  displayName: "Create Conda Package"
  steps:
  - bash: echo "##vso[task.prependpath]/anaconda/bin"
    displayName: Add conda to PATH
  - script: |
      eval "$(conda shell.bash hook)"
      conda env create -f conda/environment.yml
      conda activate gadgetron-build
      set -euo pipefail
      cd conda && ./package.sh
  - task: CopyFiles@2
    displayName: 'Copy Package'
    inputs:
      contents: 'conda/build_pkg/**'
      targetFolder: '$(Build.ArtifactStagingDirectory)'
  - publish: '$(Build.ArtifactStagingDirectory)'
    displayName: 'Publish package'
    artifact: drop
- job: Publish
  pool:
    name: $(poolName)
    vmImage:
  timeoutInMinutes: 120
  displayName: "Publish Conda Package"
  condition: and(succeeded(), eq(variables.isCI, 'true'))
  dependsOn:
  - BuildAndTest
  - Package
  steps:
  - task: AzureKeyVault@1
    inputs:
      azureSubscription: $(AzureConnection)
      KeyVaultName: 'gadgetron-build-secrets'
      SecretsFilter: 'gadgetron-token, gadgetron-user'
      RunAsPreJob: true
  - bash: echo "##vso[task.prependpath]/anaconda/bin"
    displayName: Add conda to PATH
  - download: current
    artifact: drop
  - script: |
      eval "$(conda shell.bash hook)"
      conda create --name conda-push anaconda-client=1.8.0 -y
      conda activate conda-push
      set -euo pipefail
      cd conda && ./publish_package.sh -u $(gadgetron-user) -t $(gadgetron-token) -p `find $(Pipeline.Workspace)/drop/ -name gadgetron*.tar.bz2`
- job: buildAndTestMacOS
  pool:
    name: Azure Pipelines
    vmImage: macOS-latest
  timeoutInMinutes: 10
  displayName: "Testing for macOS"
  steps:
  - task: AzureKeyVault@2
    inputs:
      azureSubscription: $(AzureConnection)
      keyVaultName: gadgetron-build-secrets
  - script: |
        set -e
        uname -a
        which curl
        which wget
        which conda
    displayName: "Check for basic utilities"